Lead ML Engineer

Machine Learning Engineer

Required Skills & Qualifications

• Experience: 10+ years of experience as an ML Engineer, with at least 1-2 years dedicated to Generative AI or NLP projects, and good experience on AWS cloud platform.
• Technical Expertise: Strong proficiency in Python, and IDEs such as Cursor/AWS Kiro, deep learning frameworks (PyTorch or TensorFlow or), utilizing GitHub co-pilot etc.
• GenAI Proficiency: Hands-on experience with LLMs (e.g., GPT-4, Llama), RAG architectures, LangChain, Vector Databases, Knowledge graphs, and Agentic AI
• MLOps and LLM Ops: Familiarity with Docker, Kubernetes, and CI/CD tools for ML.
• AWS Skills: S3, Lambda, Glue, AWS Sage maker, and AWS Bedrock platform
• Communication Skills: Excellent verbal and written communication skills; ability to articulate complex technical concepts simply.
• Stakeholder Management: Able to collaborate with key business/client stakeholders and manage their expectations
• Problem-Solving: Proven ability to work independently in a fast-paced environment and troubleshoot issues.