Overview In this role you will drive the development and deployment of advanced ML models leveraging Python and leading DL frameworks. You will work within a cross-functional environment to deliver generative AI capabilities and practical AI solutions. You will design scalable data pipelines, implement MLOps practices, and ensure responsible AI and bias mitigation. This position offers the chance to shape cutting-edge ML workflows for client-facing projects and cloud deployments. You will collaborate with teams to translate complex models into reliable, production-ready services.
Responsibilities- Develop and deploy machine learning models using Python
- Leverage deep learning frameworks (PyTorch, TensorFlow) and generative AI/LLMs
- Implement prompt engineering, RAG, LangChain/Semantic Kernel or similar frameworks
- Data processing with Pandas, NumPy, SQL, PySpark
- Build and deploy models in cloud environments (Azure, AWS, GCP)
- Establish MLOps practices including versioning, CI/CD and monitoring
- Work with vector databases and semantic search
- Adhere to responsible AI, data ethics and bias mitigation
- Engage in client-facing delivery and API/microservices development
Key requirements- Machine Learning
- AI
- Python
- 7+ years of experience in must-have skills
- Experience with cloud deployment and MLOps
- Strong data processing and SQL skills
- Hands-on with PyTorch/TensorFlow and generative AI frameworks
- client-facing communication
- collaboration
- problem-solving
- Python
- Machine Learning
- PyTorch
