Tech Stack

Description

You will collaborate with senior data scientists, engineers, and business stakeholders to analyze data, build predictive models, and contribute to scalable analytics and AI applications. Gain hands-on experience building models and applications that support production environments.

Requirements

• 2+ years working with Python in data science, analytics, or machine learning projects
• Practical experience with SQL for querying and analyzing large datasets
• Experience supporting ML models using scikit-learn, PyTorch, or TensorFlow
• Familiarity with data processing or streaming pipelines (e.g., Apache Beam, Google Cloud Dataflow, Spark)
• Familiarity with REST APIs, Generative AI concepts and frameworks (LLMs, RAG, LangChain, ADK, Llama-index)

Responsibilities

• Support implementation of machine learning models including data preprocessing, feature engineering, model training, and evaluation
• Apply statistical techniques such as regression, classification, clustering, and anomaly detection
• Assist in developing applications using Generative AI (LLMs, prompt engineering, embeddings, or RAG)
• Integrate ML and AI models into internal systems via APIs and backend services
• Write clean, well-documented code using Python and SQL