Description

Must-Have Skills:

• 8+ years of experience in AI / Machine Learning Engineering
• Strong expertise in Python
• Strong understanding of Python OOP concepts
• Functions, modules, iterators, generators, exception handling, and decorators
• Python typing and data classes
• Data structures and algorithms
• Design patterns
• Machine Learning using NumPy, Pandas, Scikit-learn, XGBoost, and LightGBM
• Deep Learning using PyTorch and TensorFlow
• MLflow for machine learning lifecycle management
• Matplotlib for data visualization
• Machine learning pipeline design, development, and optimization
• Generative AI and Agentic AI
• LangChain
• LangGraph
• LlamaIndex
• FAISS / Pinecone
• OpenAI / Anthropic / Gemini APIs
• LangGraph Agents
• Large Language Models (LLMs)
• Retrieval-Augmented Generation (RAG) architectures
• AI agent development and implementation
• End-to-end ML pipeline development from data ingestion through model deployment and monitoring
• Multimodal AI application development
• AI solution performance, scalability, security, and governance

Preferred Experience:

• Experience building enterprise-scale Generative AI applications
• Experience developing Agentic AI frameworks and autonomous AI workflows
• Experience with multimodal AI involving text, image, audio, and video
• Experience evaluating and implementing emerging AI technologies
• Experience developing scalable ML and AI solutions for complex business problems
• Experience providing technical leadership and mentoring junior AI engineers
• Experience collaborating with Product Managers, Business Stakeholders, Data Engineers, and Architects
• Strong experience defining AI strategies, roadmaps, and technical solutions
• Experience with AI governance, security, scalability, and performance optimization

Education: Bachelor's Degree in Computer Science

Key Skills

Education

Bachelor's degree