🛠 Tech Stack

💼 About This Role

You'll design and deploy end-to-end machine learning models for a global digital accelerator, solving complex business challenges with computer vision and GenAI. You'll collaborate with cross-functional teams to integrate AI systems into production environments.

🎯 What You'll Do

• Design and deploy ML models including feature engineering and optimization
• Apply statistical techniques for regression, classification, and anomaly detection
• Develop computer vision models for object detection and segmentation
• Build GenAI applications using LLMs, prompt engineering, and RAG pipelines

📋 Requirements

• 5+ years in Data Science, ML, or AI roles
• Strong proficiency in Python and SQL
• Hands-on experience with scikit-learn, TensorFlow, or PyTorch
• Experience with LLMs, prompt engineering, embeddings, and RAG architectures

✨ Nice to Have

• Experience with cloud platforms GCP, AWS, or Azure
• Familiarity with MLOps tools like Docker, Kubernetes, MLflow
• Exposure to GenAI frameworks like LangChain or LlamaIndex

🎁 Benefits & Perks

• 🏖️ Statutory Major benefits
• 📈 Attractive salary
• 🎯 Personal Growth opportunities

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Interview· 60 min
3. 3Hiring Manager Interview· 45 min