ML-Ops

📋 Description

• Hands-on Data Scientist with strong Python and backend skills
• Maintain and improve production algorithms
• Profile and optimize code for performance and scalability
• Design and maintain REST APIs (Django/DRF or FastAPI) for model services
• Test for efficiency, latency, and cost efficiency; ensure code quality
• Collaborate with product/data/QA to meet SLAs

🎯 Requirements

• 5–7 years in data science/software roles with production-grade Python
• Strong Python (pandas, NumPy) and profiling tools
• Parallel/concurrent processing and performance tuning
• REST API development with Django/DRF or FastAPI
• ML fundamentals with scikit-learn; deploying models to services
• Testing/quality: pytest, CI/CD, Git workflows; strong communication

🎁 Benefits

• Opportunity to lead cutting-edge AI projects in a global consulting environment
• Leadership development programs and training sessions
• Dynamic, collaborative team with diverse projects
• Position based in Mumbai (onsite)