Lead ML Engineer
Saxon Global
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.
Vacancy posted 3 days ago
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