Machine Learning Engineer

Key Responsibilities:

• Design and implement AI stack architectures using AWS Bedrock and Claude.
• Integrate and manage Vector Databases for semantic search and retrieval-augmented generation (RAG).
• Develop and deploy Generative AI applications for real-time and batch use cases.
• Optimize model performance and latency for real-time predictions.
• Collaborate with data engineers and product teams to build scalable AI pipelines.
• Monitor and improve system performance using observability tools.

Required Skills:

• Strong experience with AWS Bedrock and Claude or other foundation models.
• Hands-on experience with Vector Databases (e.g., Pinecone, Weaviate, FAISS).
• Proficiency in GenAI application development and prompt engineering.
• Experience with real-time model inference and batch data processing.
• Deep understanding of AI stack architecture, performance tuning, and latency optimization.
• Proficiency in Python and familiarity with ML/AI libraries (e.g., LangChain, Transformers).