This is us At Avenga, we believe that human creativity empowers technology that matters. Operating globally, our 6000+ specialists provide a full spectrum of services, including business and tech advisory, enterprise solutions, CX, UX and Ul design, managed services, product development, and software development. This is the job We are looking for an Optimization ML Specialist to join our client's team focused on modeling and optimizing complex industrial systems. As the team dives deeper into modeling industrial systems, we need someone who can help create statistical models of individual machine behaviors based on sensor data and experimentation. The eventual goal is to link these models together to allow optimization of whole industrial systems. You will develop stochastic modeling and optimization approaches for real-world industrial systems, design and evaluate models, and help translate complex physical processes into mathematical or computational abstractions. This is you Possessing experience or a degree in a STEM field such as operations research, applied mathematics, or industrial process engineering with a strong interest in machine learning. Strong experience with one or more general-purpose programming languages such as Python, C/C++. Experience in industrial optimization, as in industrial engineering, chemical engineering, or system engineering is desired. Experience in scientific computing or building in-silico models for complex physical or industrial systems. Ability to translate complex physical processes into mathematical or computational abstractions. Nice-to-have skills: Proficiency in machine learning, operations research, or high-performance computing frameworks and libraries. A deep understanding of stochastic modeling or combinatorial optimization methods. Familiarity with machine learning data science tools (e.g., Vertex AI, OpenAI Platform, or Anthropic Console). Familiarity with Bayesian optimization and stochastic processes. Understanding of simulation techniques (e.g., discrete event simulation, agent-based modeling, or Markov Chain modeling). This is your role Help develop statistical models of industrial systems based on sensor data and experimentation. Propose optimization techniques — create stochastic modeling and optimization approaches for real-world industrial systems. Design and evaluate the developed models. Link individual machine models together to allow optimization of whole industrial systems. Collaborate with the team to translate complex physical processes into mathematical or computational models. Contribute to architectural decisions, code reviews, and engineering best practices. What awaits you at Avenga? At Avenga, everyone matters. We provide equal opportunities in recruitment, career development, and leadership, regardless of race, ethnicity, gender identity, sexual orientation, disability, age, religion, or any other characteristic. We are committed to fostering a work environment where our diverse community of employees, candidates, and business partners actively shapes our growth. By bringing together people from different backgrounds and experiences, we build a workplace where everyone feels free to be themselves while honoring the boundaries of others.

Avenga

Avenga is a global IT and digital transformation champion. We deliver strategy, customer experience, solution engineering, managed services and software…

This is us At Avenga, we believe that human creativity empowers technology that matters. Operating globally, our 6000+ specialists provide a full spectrum of services, including business and tech advisory, enterprise solutions, CX, UX and Ul design, managed services, product development, and software development. This is you 5+ years of experience working with Snowflake Strong SQL skills Experience with ETL/ELT processes Knowledge of data warehousing concepts Familiarity with cloud platforms Strong problem-solving skills This is your role Develop and optimize solutions in Snowflake Build and maintain data pipelines and transformations Design efficient data models and schemas Monitor and improve performance of Snowflake workloads Collaborate with data engineers and analysts Ensure best practices in data security and governance At Avenga, everyone matters. We provide equal opportunities in recruitment, career development, and leadership, regardless of race, ethnicity, gender identity, sexual orientation, disability, age, religion, or any other characteristic. We are committed to fostering a work environment where our diverse community of employees, candidates, and business partners actively shapes our growth. By bringing together people from different backgrounds and experiences, we build a workplace where everyone feels free to be themselves while honoring the boundaries of others.

Avenga

Avenga is a global IT and digital transformation champion. We deliver strategy, customer experience, solution engineering, managed services and software…

This is us At Avenga, we believe that human creativity empowers technology that matters. Operating globally, our 6000+ specialists provide a full spectrum of services, including business and tech advisory, enterprise solutions, CX, UX and Ul design, managed services, product development, and software development. This is the job We are looking for a Senior Data Engineer to join a project for a leading Telco client, focused on migrating an existing data platform from Teradata to Google BigQuery. You will be responsible for migrating existing data solutions, ETL processes, and transformations, as well as validating, testing, and integrating them into production. This is you Solid experience as a Data Engineer. Strong SQL skills and experience working with large data volumes. Knowledge of data warehouses, ETL processes, and data transformations . Hands-on experience with Git/version control . Good understanding of IT environments and development tools. Ability to work independently and solve technical problems. Nice-to-have skills: Google BigQuery / GCP Apache Airflow / Cloud Composer Python Docker YAML Experience with data warehouse/platform migrations. Experience with ETL/ELT and data integration. Teradata migration experience. This is your role Migrate data solutions, ETL processes, and transformations from Teradata to BigQuery . Analyze and adapt existing SQL and data transformations. Validate data quality and migrated results. Perform testing and troubleshoot technical issues. Support the integration of migrated solutions into production. Work according to established methodologies and collaborate with a small expert team. At Avenga, everyone matters. We provide equal opportunities in recruitment, career development, and leadership, regardless of race, ethnicity, gender identity, sexual orientation, disability, age, religion, or any other characteristic. We are committed to fostering a work environment where our diverse community of employees, candidates, and business partners actively shapes our growth. By bringing together people from different backgrounds and experiences, we build a workplace where everyone feels free to be themselves while honoring the boundaries of others.

Avenga

Avenga is a global IT and digital transformation champion. We deliver strategy, customer experience, solution engineering, managed services and software…

This is us At Avenga, we believe that human creativity empowers technology that matters. Operating globally, our 6000+ specialists provide a full spectrum of services, including business and tech advisory, enterprise solutions, CX, UX and Ul design, managed services, product development, and software development. This is the job We are looking for a Senior AI Engineer to join a project focused on building and extending a unified, AI-augmented Quality Engineering framework. In this role, you will combine AI orchestration, agentic frameworks, MLOps, Governance-as-Code, CI/CD, and Test Data Management to enable AI-assisted testing, self-healing automation, reusable AI capabilities, and performance testing. This is you Strong software engineering and programming skills, preferably with Python Hands-on experience with AI orchestration and agentic frameworks, such as MCP, LangChain, Semantic Kernel, or similar Experience working with AI models and AI-assisted development workflows Experience with GitHub Copilot or similar AI-assisted development tools Good understanding of MLOps, Governance-as-Code, and PromptOps Experience with versioned instruction sets, prompt templates, policy rules, and reusable AI artifacts Experience with CI/CD, including Jenkins and/or GitHub Actions Understanding of AI-assisted testing and self-healing automation Experience with synthetic test data generation and Test Data Management (TDM) This is your role Extend existing automation frameworks with AI-enabled capabilities and contribute to a unified AI-augmented Quality Engineering framework Develop reusable prompts and instruction sets for AI-assisted test generation and standardize shared automation components Implement AI orchestration and MCP-based enterprise integrations, including GitHub Copilot and approved MCP connectors Enable governed AI workflows for test design, analysis, and optimization, and establish reusable orchestration and integration patterns Implement Governance-as-Code using versioned instruction sets, prompt templates, and policy rules, including their propagation and distribution across automation repositories Enable self-healing automation for UI, API, and database changes through engineer-controlled approval workflows Integrate the framework with Jenkins/GitHub Actions and support dynamic regression selection and parallel test execution Transition selected existing automation flows into the unified framework, apply AI capabilities, and validate them against agreed PoC success criteria Analyze test data sources and implement reusable capabilities for deterministic test data generation and management Track automation coverage, stability, execution time, and defect trends, support centralized reporting through Report Portal, and measure improvements against established baselines Develop AI-assisted performance and load testing capabilities, including reusable scenarios, scripts (e.g. Locust-based), test data, and request payloads What awaits you at Avenga? Through our values – Better Minds, Bolder Ideas, and Bigger Hearts – we strive to create a work environment where people feel supported, trusted, and empowered to grow. At Avenga, everyone matters. We provide equal opportunities in recruitment, career development, and leadership, regardless of race, ethnicity, gender identity, sexual orientation, disability, age, religion, or any other characteristic. We are committed to fostering a work environment where our diverse community of employees, candidates, and business partners actively shapes our growth. By bringing together people from different backgrounds and experiences, we build a workplace where everyone feels free to be themselves while honoring the boundaries of others.

Avenga

Avenga is a global IT and digital transformation champion. We deliver strategy, customer experience, solution engineering, managed services and software…

This is us At Avenga, we believe that human creativity empowers technology that matters. Operating globally, our 6000+ specialists provide a full spectrum of services, including business and tech advisory, enterprise solutions, CX, UX, and UI design, managed services, product development, and software development. This is the job In Argentina , we are seeking a Senior Node.js Engineer to join our engineering team and lead backend development for BFF (Backend-for-Frontend) services and microservice-based systems. You will design, build, and maintain scalable, reliable services, collaborate with product and frontend teams, and drive technical improvements across the stack. The role involves full-lifecycle delivery - from technical scoping and prototyping to implementation, testing, deployment, and support. This is you 5+ years with Node.js (v18+); experience building BFF/back-end services with NestJS or Express. Strong RESTful API design and NoSQL integration. Experience with microservices and event-driven/asynchronous architectures. Cloud deployment and management experience; familiarity with Serverless Framework or IaC tools. Proficient with GitLab workflows and setting up monitoring/alerting (e.g., Datadog, OpsGenie). Solid technical scoping, requirements translation, and full SDLC ownership. Excellent collaboration and communication; works closely with TL and PO to meet deadlines. Languages: Spanish (native), English (intermediate). Location: Buenos Aires (CABA or AMBA). Nice-to-have skills: Experience with AWS serverless (Lambda, API Gateway, SQS/SNS, Step Functions, EventBridge, DynamoDB); TypeScript proficiency; Frontend (React) experience; Familiar with agile SDLC. This is your role Design and maintain BFF and backend services with Node.js (18+) and NestJS; Build and document versioned RESTful APIs; integrate within microservices and event-driven systems; Translate requirements into prototypes and production-ready technical solutions; Ensure code quality: unit tests, code reviews, and defect fixes; Deploy and manage cloud applications using IaC or Serverless approaches; ensure production reliability with monitoring, alerting (e.g., DataDog, OpsGenie), and incident response; Improve performance, scalability, and availability; Maintain functional, architectural, and in-code documentation; Collaborate with frontend, product, and tech leads; support team OKRs and mentor juniors. At Avenga, everyone matters. We provide equal opportunities in recruitment, career development, and leadership, regardless of race, ethnicity, gender identity, sexual orientation, disability, age, religion, or any other characteristic. We are committed to fostering a work environment where our diverse community of employees, candidates, and business partners actively shapes our growth. By bringing together people from different backgrounds and experiences, we build a workplace where everyone feels free to be themselves while honoring the boundaries of others.

Avenga

Avenga is a global IT and digital transformation champion. We deliver strategy, customer experience, solution engineering, managed services and software…

This is us At Avenga, we believe that human creativity empowers technology that matters. Operating globally, our 6000+ specialists provide a full spectrum of services, including business and tech advisory, enterprise solutions, CX, UX and Ul design, managed services, product development, and software development. This is you Commercial experience in test automation and Quality Engineering . Strong hands-on experience with TypeScript and Node.js for test automation. Experience with NestJS and testing applications/services built with Node.js/NestJS . Experience designing and developing scalable and maintainable test automation frameworks . Strong hands-on experience with API and integration testing (REST/HTTP). Understanding of API-driven architectures , integration patterns, and Tyk API Gateway . Experience in automating end-to-end (E2E), integration, regression, functional, and API tests . Experience integrating automated tests into CI/CD pipelines and implementing quality gates . Experience testing microservices, distributed systems, APIs, and enterprise applications . Proficiency with Git and modern software development and testing practices. Nice-to-have skills: Hands-on experience with Tyk API Gateway or similar API management/API gateway technologies. AWS experience is preferred but not a hard requirement. Experience with cloud-native and microservices architectures. Experience with Docker and Kubernetes is a plus. Experience with event-driven architectures and messaging is a plus. Experience in the Telecommunications / Telco domain is a plus This is your role Develop reliable API, integration, end-to-end, functional, and regression automation for Node.js/NestJS-based services. Create and maintain automated tests for microservices and distributed systems. Integrate automated testing into CI/CD pipelines and support continuous quality practices. Develop and execute automated tests around REST APIs, integrations, and API Gateway flows, including systems using Tyk. Collaborate with developers, solution architects, QA engineers, and domain experts to define effective test strategies and automation approaches. Investigate test failures, identify root causes, and continuously improve framework stability and test execution. Promote shift-left testing, quality engineering, and risk-based automation practices. Ensure automation solutions are maintainable, reusable, scalable, and aligned with the overall software architecture. Contribute to the evolution of testing practices for cloud-native, microservices, and API-driven architectures. Where applicable, support testing and automation activities in AWS/cloud environments. Provide technical guidance and contribute to improving automation practices across the QA team. At Avenga, everyone matters. We provide equal opportunities in recruitment, career development, and leadership, regardless of race, ethnicity, gender identity, sexual orientation, disability, age, religion, or any other characteristic. We are committed to fostering a work environment where our diverse community of employees, candidates, and business partners actively shapes our growth. By bringing together people from different backgrounds and experiences, we build a workplace where everyone feels free to be themselves while honoring the boundaries of others.

Avenga

Avenga is a global IT and digital transformation champion. We deliver strategy, customer experience, solution engineering, managed services and software…

This is us At Avenga, we believe that human creativity empowers technology that matters. Operating globally, our 6000+ specialists provide a full spectrum of services, including business and tech advisory, enterprise solutions, CX, UX and Ul design, managed services, product development, and software development. This is the job In Argentina within the Fintech industry , we are actively seeking a professional to strengthen our team dedicated to scaling and evolving our high-availability backend platforms. In this position, during your first six months, your primary objective will be to enable and scale our existing systems to support multi-region AWS infrastructures . Following this initial high-impact phase, you will have the opportunity to rotate into and contribute your talent to another core team within the company. This is the team In your role, you'll become a vital member of a skilled, multi-technology team working alongside Product Owners, Web, and Mobile engineers under the Scrum framework. Your primary responsibility will involve technically leading the adaptation of existing systems into multi-region architectures and maintaining resilient event-driven workflows. Here you will have the opportunity to make a meaningful contribution to global technological progress while at the same time advancing your own skills and career. This is you 4 years of proven experience in Backend Software Development . Advanced proficiency in Node.js and TypeScript . Strong hands-on experience in AWS cloud development, specifically with containerization and orchestration using EKS (Elastic Kubernetes Service). Advanced knowledge of Kafka and Event-Driven Architectures (required) . Solid experience working with relational databases , preferably MySQL or PostgreSQL . Practical and demonstrable application of Clean Architecture principles and design patterns . Proven experience designing or implementing multi-region cloud deployments . Active adopter of Artificial Intelligence tools used daily to support software development and solve technical challenges. Strong self-management, proactivity, and ownership, with excellent communication skills to articulate technical solutions to cross-platform teams and business stakeholders. Nice-to-have skills: Previous experience in the Fintech or high-throughput transactional industry. Familiarity with micro-frontend or multi-platform integrations (Web/Mobile). This is your role Technically lead the adaptation and deployment of existing backend systems to multi-region AWS architectures, ensuring low latency and high availability. Design, build, and maintain Event-Driven Architectures to guarantee scalability, resilience, and asynchronous service processing. Collaborate closely with cross-functional teams (Web, Mobile, and Product Owners) using Scrum agile methodologies. Ensure high standards of code quality and maintainability by applying Clean Architecture principles and best software practices. Drive engineering productivity by leveraging AI tools to solve technical bottlenecks and optimize delivery. At Avenga, everyone matters. We provide equal opportunities in recruitment, career development, and leadership, regardless of race, ethnicity, gender identity, sexual orientation, disability, age, religion, or any other characteristic. We are committed to fostering a work environment where our diverse community of employees, candidates, and business partners actively shapes our growth. By bringing together people from different backgrounds and experiences, we build a workplace where everyone feels free to be themselves while honoring the boundaries of others.

Avenga

Avenga is a global IT and digital transformation champion. We deliver strategy, customer experience, solution engineering, managed services and software…

This is us At Avenga, we believe that human creativity empowers technology that matters. Operating globally, our 6000+ specialists provide a full spectrum of services, including business and tech advisory, enterprise solutions, CX, UX and UI design, managed services, product development, and software development. This is the job We are looking for a Program Manager to join our team in the USA. This role is 100% on-site at the Otis offices in Florence, South Carolina , with core working hours from 8:00 AM to 4:00 PM (flexibility of one hour before or after). The Program Manager will oversee and coordinate multiple related projects, ensuring they align with the company’s strategic goals and deliver measurable business value. You will be responsible for managing program budgets, timelines, resources, and staff, while driving organizational change and stakeholder alignment. Important: We are specifically looking for Program Managers who have managed physical hardware product development , not software development. This is you Skills: Strong leadership and strategic thinking with proven project/program management abilities Proficiency in program and project management tools ( MS Project, JIRA, Asana ) Extensive familiarity with management and implementation of business strategy within a program’s framework Excellent communication and stakeholder management skills Ability to manage complex portfolios and navigate organizational change effectively Knowledge of industry-specific regulations and standards pertinent to the program’s scope Education & Experience: Bachelor’s degree in Business Administration or related field (required) PMP or PMI certification 3–5 years of experience in program/project management, with specific experience as a PM in commercial product development English level: Advanced This is your role Develop and implement program strategies, objectives, and metrics to achieve business goals Oversee the planning, execution, and integration of multiple projects within the program Coordinate cross-project activities and facilitate collaboration across functional teams Manage and allocate program resources and budget, ensuring cost-effectiveness Identify, monitor, and manage program risks and issues, developing contingency plans when needed Communicate regularly with stakeholders to provide updates, gather feedback, and align expectations What awaits you at Avenga? A collaborative environment with real opportunities for growth High-impact projects in a global organization The chance to lead strategic initiatives with measurable business outcomes At Avenga, everyone matters. We provide equal opportunities in recruitment, career development, and leadership, regardless of race, ethnicity, gender identity, sexual orientation, disability, age, religion, or any other characteristic.

Avenga

Avenga is a global IT and digital transformation champion. We deliver strategy, customer experience, solution engineering, managed services and software…

This is us At Avenga, we believe that human creativity empowers technology that matters. Operating globally, our 6000+ specialists provide a full spectrum of services, including business and tech advisory, enterprise solutions, CX, UX and Ul design, managed services, product development, and software development. This is the job We are looking for a Data Analyst / Analytics Engineer to join the Power Forecasts product team. You will work with customer and time-series data to support power grid forecasts and help transform manual forecasting processes into automated, data-driven workflows. You will combine data analysis, Python development, data modelling, and visualization to generate insights that support grid development, investments, reinvestments, and business decisions. This is you 4 years of experience working with large datasets, preferably customer data and time-series data Experience with data analysis, data manipulation, data modelling, and communicating insights to stakeholders 3 of experience writing clean and efficient code in Python or a similar programming language Professional experience with data visualization tools, particularly Power BI Strong analytical and problem-solving skills Ability to communicate complex findings and key insights clearly to both technical and non-technical stakeholders Experience in the power grid industry or broader energy sector Relevant academic degree, for example in Engineering Physics, Energy Systems, Electrical Power, or another relevant technical field This is your role Automate parts of the power forecasting process that were previously performed manually by developing Python solutions in a Databricks environment Analyze customer and time-series data to identify trends, patterns, and opportunities to improve forecasting methodologies Investigate and develop potential improvements to existing forecasting approaches in collaboration with colleagues from different areas of expertise Build and improve Power BI reports, including data modelling, calculations, and new functionality Update power forecasts for specific regions and areas by processing input data and generating quantitative and qualitative insights Collaborate with municipalities and local grid customers to collect and clarify relevant input data Investigate data availability and collect, combine, and prepare data from different sources Perform data quality checks and ensure the reliability and consistency of analytical outputs Prepare and present findings and forecasting results to relevant stakeholders What awaits you at Avenga? At Avenga, everyone matters. We provide equal opportunities in recruitment, career development, and leadership, regardless of race, ethnicity, gender identity, sexual orientation, disability, age, religion, or any other characteristic. We are committed to fostering a work environment where our diverse community of employees, candidates, and business partners actively shapes our growth. By bringing together people from different backgrounds and experiences, we build a workplace where everyone feels free to be themselves while honoring the boundaries of others.

Avenga

Avenga is a global IT and digital transformation champion. We deliver strategy, customer experience, solution engineering, managed services and software…

1. Bridging the sim-to-real Gap: Domain randomization and synthetic data for robotic arm control (STHLM) Background & Description We offer a master's thesis project on closing the gap between simulation and physical hardware in robot learning. Policies trained purely on simulated data, including Vision-Language-Action (VLA) models, often fail on real hardware due to mismatches in visuals, physics, and sensing. Domain randomization addresses this by varying simulation parameters during data generation so the model learns features invariant to the sim-real gap rather than simulator artifacts (Tobin et al., 2017). This thesis treats synthetic data production as an optimization problem: which parameter distributions, quantities, and sim/real mixtures maximize real-world performance per unit of data and compute? Recent work shows that even simple sim/real co-training recipes substantially improve manipulation success rates (Maddukuri et al., 2025), but principled, mathematically grounded strategies remain an open question. Core idea: synthetic data is generated via a mathematically justified and data-efficient randomization strategy, a VLA or comparable model is trained on it, and the resulting policy is deployed on physical robotic arm hardware. The theoretical contribution is the mathematical analysis behind the strategy, for example coverage guarantees, sample complexity, or framing parameter selection as an optimization problem. The applied contribution is validating the policy on real hardware. Students will work with a physical robotic arm, GPU compute, and guidance from Modulai's ML engineers Example directions Formal analysis of how domain randomization ranges should be chosen relative to the true (unknown) distribution of real-world conditions, and what guarantees this gives on real-world generalization Optimizing the mixture and scheduling of simulated versus real demonstration data during VLA fine-tuning Automatic or learned domain randomization, where randomization parameters are adapted based on validation performance rather than fixed by hand End-to-end evaluation: train in simulation only, train with a randomization strategy, and train with sim+real co-training, then compare real-arm task success rates ML Techniques and Tools Python, PyTorch, Git, Hugging Face Robotics simulators (e.g. MuJoCo, Isaac Sim, or similar) for synthetic data generation Domain randomization and sim-to-real transfer methods Vision-Language-Action models and other end-to-end control architectures Statistical and optimization methods for data generation strategy design Real-time control and deployment on physical robotic arm hardware References Tobin et al., Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World, 2017. arXiv:1703.06907 - https://arxiv.org/abs/1703.06907 Maddukuri et al., Sim-and-Real Co-Training: A Simple Recipe for Vision-Based Robotic Manipulation, 2025. arXiv:2503.24361 - https://arxiv.org/abs/2503.24361 2. Image representations in property valuation (Computer vision/Tabular) (Sthlm/Gbg) Background & Description We offer a master's thesis project on using image data to improve the accuracy of automated property valuation. The project is run together with a growing startup that is building a state-of-the-art valuation engine, with guidance from Modulai's ML engineers. Automated valuation models traditionally rely on tabular data: living area, number of rooms, location, construction year and historical transactions. Two apartments with near-identical records can still differ substantially in market value because of condition, renovation standard, light, layout and view. Much of that residual signal is present in listing photographs, floor plans and aerial imagery, but is rarely exploited beyond coarse heuristics. Early work showed that a learned "luxury level" derived from interior and exterior photos, combined with metadata, can outperform established metadata-only estimates (Poursaeed et al., 2017), and later studies confirm that visual features add predictive power on top of strong tabular baselines (Kostic & Jevremović, 2021). This thesis treats the image side as a representation and integration problem: which visual representations carry the signal that tabular features miss, and how should they be fused into a production valuation model without hurting robustness, calibration or explainability? The candidate representations span the full toolbox - image classification (room type, condition, renovation standard), semantic segmentation (materials, surfaces, greenery, floor-plan geometry), object detection (fireplaces, appliances, balconies) and general-purpose embeddings from pretrained vision or vision-language backbones. Core idea: Explore image model approaches to represent the image information as efficiently as possible, while keeping explainability of the model. Investigate how such methods may contribute to improved valuation accuracy for apartments and house listings, The methodological contribution is the comparison and fusion strategy; the applied contribution is a validated improvement in a system that is actually shipped. Students will work with large-scale real listing data, GPU compute, and close guidance from both the company's ML team and Modulai's ML engineers. It is also a domain that is unusually easy to relate to - everyone lives somewhere. Example directions Systematic comparison of representation families - classification heads, segmentation masks, detected objects and raw embeddings - on equal footing, measured as marginal accuracy over a strong tabular baseline Off-the-shelf vision-language models used as attribute extractors versus purpose-trained models and learned embeddings: accuracy, cost and latency per valuation Fusion architecture: late fusion of pooled embeddings into a gradient-boosted model versus end-to-end multimodal training, including how to aggregate a variable number of images per property Weak supervision from price residuals: learning image representations directly against the part of the price the tabular model cannot explain, instead of relying on generic pretrained features Floor plans as structured input: extracting layout, room adjacency and geometry, and testing whether structure beats appearance Robustness to presentation: staged photos, wide-angle lenses, HDR and photographer differences - separating property quality from marketing quality Uncertainty and explainability: does image data mainly shift the point estimate or tighten prediction intervals, and can per-image contributions be attributed in a way a human valuer would accept? ML Techniques and Tools Python, PyTorch, Git, Hugging Face CNN and vision-transformer backbones; pretrained embeddings (e.g. CLIP, DINOv2) and vision-language models Semantic segmentation and object detection (e.g. SAM, Mask R-CNN, YOLO-family models) Multimodal fusion and gradient boosting (LightGBM/XGBoost) over combined tabular and image features Explainability (SHAP, attention and saliency maps) and uncertainty quantification (quantile regression, conformal prediction) Cloud GPU compute, experiment tracking and evaluation on real data References Poursaeed et al., Vision-based Real Estate Price Estimation, 2017. arXiv:1707.05489 - https://arxiv.org/abs/1707.05489 Kostic & Jevremović, What Image Features Boost Housing Market Predictions?, 2021. arXiv:2107.07148 - https://arxiv.org/abs/2107.07148 Zillow neural network estimate https://www.zillow.com/news/building-the-neural-zestimate/ 3. Open Application within Applied Machine Learning Applied Machine Learning projects encompass a wide range of domains, including healthcare, finance, natural language processing, computer vision, and more. This open application invites students to choose projects aligned with their interests and career goals. Do you have an idea - let us know what it's about by describing it. Required Skills Finishing a master's in machine learning or a master's in another field but with courses in machine learning and programming added Please include the following in your application: Link to relevant GitHub account if available. Grades for bachelor's and master's. Updated CV or an updated LinkedIn profile. *Suitable candidates will be called to one interview before making a final decision. The last date for application will be the 31th of October , but if suitable candidates apply, the process will end beforehand. About Modulai Modulai’s clients range from startups to multinational companies. They all share that machine learning is central to how they operate, compete, and create value. Our services range from advisory projects and feasibility studies to end-to-end development and refinement of machine learning systems and products. We use state-of-the-art techniques, always focusing on maximizing business impact, delivering solutions in areas such as credit risk, fraud detection, dynamic pricing, recommendation systems, computer vision, natural language processing, opportunity spotting, logistics optimization, up-sell, cross-sales, smart building optimization, predictive maintenance, and route planning. Other When doing a master thesis project at Modulai, you are invited to all team activities such as daily stand-ups, weekly learning breakfasts, monthly AWs, and other team activities. We look forward to having you as part of our team!

Modulai

Modulai delivers machine learning products and projects to selected clients, helping them to be even more successful in creating value…

Selezioniamo un profilo come Addetto/a segreteria per un negozio di abbigliamento e accessori situato a Orbetello. La risorsa si occuperà di supportare la direzione nelle attività organizzative e di gestione del back office, assicurando l'efficienza dei flussi informativi tra il punto vendita e i fornitori. Le mansioni principali includono: * Gestione della fatturazione passiva e inserimento documenti su TeamSystem * Riconciliazioni bancarie settimanali e controllo pagamenti fornitori * Smistamento della posta elettronica e gestione dell'agenda operativa * Supporto all'assistenza clienti per informazioni su ordini e resi * Archiviazione digitale della documentazione amministrativa Requisiti: * diploma di scuola secondaria superiore * non è richiesta esperienza pregressa * buona conoscenza del pacchetto Office, in particolare Excel * precisione, riservatezza e capacità di gestione dello stress * attitudine al lavoro di squadra Cosa offriamo: * retribuzione 1.450-1.700  lordi mensili (CCNL Commercio) * Buoni pasto * Welfare aziendale * Orario flessibile * Inserimento previsto a settembre Contratto a tempo indeterminato. Sede di lavoro: Orbetello

Snapio

Snapio is a trifecta of instant product recollection, one-click checkout, and a no-fuss sales platform that together forms the world's…

Per le attività operative presso il centro di distribuzione di merci varie a Follonica, ricerchiamo un/una Magazziniere/a da inserire stabilmente nel nostro team. Il ruolo prevede la gestione quotidiana dei flussi di merce, garantendo precisione nelle operazioni di stoccaggio e movimentazione. Requisiti: • capacità di lavorare in autonomia seguendo procedure precise • affidabilità e puntualità nello svolgimento delle mansioni quotidiane • predisposizione al lavoro manuale e fisico • apertura anche a prime esperienze Mansioni: • ricevimento, controllo qualitativo e quantitativo della merce in ingresso • sistemazione dei prodotti nelle aree dedicate tramite uso di transpallet • preparazione degli ordini in uscita e attività di etichettatura • collaborazione con il team per il mantenimento dell'ordine negli spazi logistici Offerta e benefit: • contratto a tempo determinato finalizzato all'indeterminato • retribuzione lorda mensile indicativa: 1.500-1.750 € • formazione continua sulle procedure aziendali • buoni pasto giornalieri • orario di lavoro full-time su 5 giorni Sede di lavoro: Follonica

Snapio

Snapio is a trifecta of instant product recollection, one-click checkout, and a no-fuss sales platform that together forms the world's…

Nel settore tessile e dell'abbigliamento, la gestione delle risorse umane è il cuore pulsante di ogni operazione. Cerchiamo un/una Addetto/a Risorse Umane Junior per entrare a far parte di un team che crede nel valore delle persone. La tua missione sarà supportare l'intero ciclo amministrativo del personale: dalla raccolta presenze all'elaborazione dati per le buste paga, dalla gestione ferie e permessi al coordinamento della documentazione contrattuale. Lavorerai a stretto contatto con il responsabile HR, imparando i processi e contribuendo concretamente al benessere organizzativo dell'azienda. Mansioni principali: * Gestione e inserimento presenze nel gestionale aziendale * Controllo e archiviazione documentale del personale (contratti, comunicazioni ufficiali) * Supporto nella predisposizione dati per l'elaborazione paghe mensili * Coordinamento con lo studio del lavoro per adempimenti normativi * Organizzazione di visite mediche, corsi formativi obbligatori e onboarding * Gestione di annunci di selezione e screening candidati Requisiti: * Diploma di scuola superiore * Valutiamo anche candidati alla prima esperienza * Padronanza dei principali strumenti informatici (Excel, pacchetto Office) * Precisione e attenzione ai dettagli nella gestione della documentazione * Capacità comunicative e disponibilità al lavoro in team * Riservatezza nel trattamento dei dati sensibili Offerta e benefit: * Retribuzione 1.450-1.750 € lordi mensili * Contratto a tempo indeterminato * Orario full-time 40 ore settimanali, dal lunedì al venerdì * Formazione continua su processi HR e normative del lavoro * Buoni pasto e Welfare aziendale * Ambiente collaborativo dove crescere professionalmente Inserimento immediato, con affiancamento strutturato durante il primo mese. Sede di lavoro: Grosseto

Snapio

Snapio is a trifecta of instant product recollection, one-click checkout, and a no-fuss sales platform that together forms the world's…

Stiamo selezionando Addetto/a assistenza clienti per il reparto che segue consegne, ritiri e distribuzione di merci per aziende e privati. Darai risposte chiare su tempi di consegna, stato delle spedizioni e gestione dei resi. Lavorerai con magazzino e autisti per risolvere rapidamente eventuali anomalie. Mansioni: - rispondere a circa 40 richieste al giorno tramite telefono, posta elettronica e chat aziendale - verificare il tracking delle spedizioni e aggiornare le informazioni nel gestionale trasporti - coordinarti con gli autisti per ritardi, mancati ritiri e consegne riprogrammate - leggere DDT e ordini di trasporto, registrando reclami e relative soluzioni Ti offriamo: - Retribuzione lorda mensile indicativa: 1.400-1.600 € (CCNL Logistica/Trasporti) - Buoni pasto - Formazione continua - Orario flessibile - tempo pieno su fascia diurna Requisiti: - esperienza non richiesta - diploma di scuola secondaria superiore - buona dimestichezza con computer, posta elettronica e fogli di calcolo - comunicazione chiara, precisione e disponibilità a collaborare con i reparti operativi - ingresso in azienda da subito Contratto a tempo indeterminato. Sede di lavoro: Grosseto

Snapio

Snapio is a trifecta of instant product recollection, one-click checkout, and a no-fuss sales platform that together forms the world's…

Apriamo una posizione di assistente d'ufficio per la nostra sede di San Vincenzo, realtà operativa nel settore del marketing digitale e della comunicazione integrata. Ti occuperai di supportare le attività quotidiane legate alla gestione documentale e al coordinamento delle informazioni tra i vari reparti. Mansioni: - gestione della corrispondenza e smistamento delle comunicazioni in entrata - supporto alla redazione di report periodici utilizzando il pacchetto Office - organizzazione e archiviazione digitale di documenti su server aziendale - collaborazione con il team creativo per la gestione di materiali informativi Requisiti: - buone doti organizzative e precisione nelle attività quotidiane - attitudine al lavoro di squadra e orientamento al risultato - conoscenza informatica di base e utilizzo dei principali software gestionali - capacità di comunicazione efficace e gestione delle priorità - esperienza non richiesta Offerta e benefit: - retribuzione lorda mensile indicativa: 1.500-1.800 € - formazione continua sulle procedure aziendali - welfare aziendale dedicato - contratto a tempo determinato 12 mesi con possibilità di rinnovo Sede di lavoro: San Vincenzo

Snapio

Snapio is a trifecta of instant product recollection, one-click checkout, and a no-fuss sales platform that together forms the world's…

Per il nostro centro logistico, attivo nella distribuzione locale, cerchiamo un/una Addetto/a scaffalatura per rafforzare il reparto durante i mesi estivi con sostituzioni ferie e turni intensi. La figura si occuperà del rifornimento continuo delle linee produttive e del mantenimento dell'ordine nelle aree di stoccaggio. Si richiede precisione nel posizionamento dei colli e rapidità nei cicli di lavoro. Requisiti: * diploma di scuola superiore o qualifica professionale * anche senza esperienza pregressa, valutiamo candidati alle prime esperienze * buona manualità e resistenza fisica * disponibilità a turni diurni intensivi * affidabilità e spirito di squadra Il lavoro prevede la movimentazione manuale dei colli, l'uso del transpallet e la verifica delle giacenze. Ogni giorno si gestiscono decine di pallet, con ritmi sostenuti ma con procedure chiare. L'inserimento avviene con affiancamento iniziale per apprendere i flussi specifici del magazzino. Offerta e benefit: * contratto a tempo determinato 4 mesi finalizzato a indeterminato * tempo pieno full-time * retribuzione 1.400-1.500 € lordi mensili (CCNL Trasporti/Logistica) * buoni pasto * formazione continua * welfare aziendale Disponibilità immediata. Sede di lavoro: Cecina

Snapio

Snapio is a trifecta of instant product recollection, one-click checkout, and a no-fuss sales platform that together forms the world's…

Cerchiamo con urgenza un/una Addetto/a vendite da inserire nel nostro punto vendita di abbigliamento a Grosseto, per affiancare il team durante il periodo estivo di piena attività. La risorsa si occuperà dell'accoglienza clienti, della consulenza durante la scelta dei capi e della gestione delle operazioni di cassa. Mansioni: - accoglienza e assistenza personalizzata alla clientela nel punto vendita - presentazione attiva delle collezioni e dei nuovi arrivi - gestione delle transazioni di cassa (contanti, carte, pagamenti digitali) - riordino, prezzatura e allestimento dell'area vendita - controllo del magazzino e riassortimento degli articoli esposti Requisiti: - buone capacità relazionali e orientamento al cliente - dinamicità e predisposizione al lavoro di squadra - anche senza esperienza pregressa nel settore - disponibilità immediata per l'inserimento Offerta e benefit: - contratto a tempo determinato di 6 mesi con orario full-time - retribuzione lorda mensile indicativa: 1.400-1.600 € - scontistiche esclusive sui prodotti del brand - Buoni pasto giornalieri - Formazione continua sulle tecniche di vendita - ambiente di lavoro giovane e collaborativo Orario full-time su turni dal lunedì al sabato, con disponibilità richiesta anche la domenica nei periodi di maggiore affluenza. Sede di lavoro: Grosseto

Snapio

Snapio is a trifecta of instant product recollection, one-click checkout, and a no-fuss sales platform that together forms the world's…

Per potenziare il nostro team, cerchiamo un Addetto/a inventario da inserire in un punto vendita di commercio al dettaglio. La risorsa si occuperà del monitoraggio costante delle giacenze e della verifica fisica dei prodotti a scaffale. Nel nostro team gestirai il conteggio delle merci utilizzando il palmare aziendale (~200 referenze/giorno) e procederai con la riconciliazione dei dati su software gestionale. Ti occuperai inoltre di segnalare tempestivamente gli errori di stock per ottimizzare i riordini. Requisiti: * non è richiesta esperienza pregressa * diploma di scuola secondaria * precisione e velocità di inserimento dati * buona manualità e affidabilità * flessibilità oraria per i picchi di lavoro Offerta e benefit: * Retribuzione lorda mensile indicativa: 1.400-1.600 € * Buoni pasto * Welfare aziendale * Contratto a tempo indeterminato full-time Siamo pronti ad accogliere la persona nel giro di 2-3 settimane. Sede di lavoro: Cecina

Snapio

Snapio is a trifecta of instant product recollection, one-click checkout, and a no-fuss sales platform that together forms the world's…

Il nostro team sta crescendo e cerchiamo un Addetto/a picking per supportare le operazioni di un centro logistico dedicato a supermercati e ipermercati. Lavorerai in un ambiente dinamico dove la precisione è fondamentale per garantire che ogni punto vendita riceva i prodotti corretti. Nel tuo ruolo quotidiano ti occuperai del prelievo della merce dagli scaffali utilizzando il palmare barcode per scansionare i codici e aggiornare le giacenze su gestionale WMS. Preparerai circa 100 ordini al giorno, occupandoti dell'imballaggio dei colli e dell'etichettatura accurata prima della spedizione. Ti supporterai inoltre nel riordino delle corsie e nel controllo delle scadenze dei prodotti. Requisiti: - diploma di scuola superiore o qualifica professionale - aperto anche a prime esperienze - buona manualità e precisione - capacità di lavorare in team - disponibilità a turni che includono i weekend Offerta e benefit: - Retribuzione lorda mensile indicativa: 1.400-1.600 € - contratto a tempo determinato 6 mesi - tempo pieno full-time - Buoni pasto - Formazione continua - Welfare aziendale Siamo pronti ad accogliere la persona nel giro di 2-3 settimane. Orario giornaliero su 5 giorni. Sede di lavoro: Cecina

Snapio

Snapio is a trifecta of instant product recollection, one-click checkout, and a no-fuss sales platform that together forms the world's…

Inseriamo nel nostro organico un Segretario/a amministrativo/a per una realtà produttiva del comparto alimentare a San Vincenzo. Il ruolo prevede il coordinamento quotidiano della documentazione interna e il supporto all'organizzazione delle attività operative. Ti occuperai di gestire la posta elettronica e telefonica, di tenere aggiornata l'agenda appuntamenti e di archiviazione dei documenti di fornitori e clienti su gestionale aziendale. Compila anche le fatture passive e tieni monitorato lo scadenzario pagamenti, operando principalmente su Excel e Word. Requisiti: - diploma di scuola secondaria - conoscenza base del pacchetto Office - capacità di organizzazione e precisione - attitudine al lavoro di squadra e disponibilità immediata Lavorerai con un team di tre persone e avrai il supporto di un software gestionale già in uso. Ti offriamo un orario full-time dal lunedì al venerdì con ingressi flessibili tra le 8 e le 9. Offerta e benefit: - Retribuzione lorda mensile indicativa: 1.400-1.700 € - Buoni pasto - Orario flessibile - Formazione continua - tempo pieno full-time Inserimento immediato. Sede di lavoro: San Vincenzo

Snapio

Snapio is a trifecta of instant product recollection, one-click checkout, and a no-fuss sales platform that together forms the world's…