Associate Data Scientist

Associate AI EngineerEducation

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• Bachelor’s in Computer Science, Data Science, Statistics, Mathematics, or a related field
• Strong academic foundation in statistics, probability, and LLM and Agentic AI and AWS Bedrock Experience
• Optional skills Machine Learning and Neural networks
• 1.5 – 2 years of professional experience in AI/ML, LLM, Agentic AI , prompt engineering
• All aspects of BEDROCK, use of security APIs from AWS, Dynamo DB, Experience in Claude LLMs
• Experience working on end-to-end Bedrock workflows Generative AI & LLMs

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• Hands-on experience developing LLM-powered applications using Amazon Bedrock or similar platforms
• Experience building or contributing to Retrieval-Augmented Generation (RAG) pipelines, including:
• Document ingestion and chunking
• Embedding generation
• Similarity search using vector databases
• Practical knowledge of prompt engineering, prompt tuning, and output evaluation
• Multi agent workflow deployment experience
• Understanding of common LLM failure modes such as hallucinations and grounding issues
• Ability to evaluate LLM responses for accuracy, relevance, and safety
• Experience on AI/ML and computer vision is preferred
• Experience on product and solutions is preferred.

Agentic AI (Growing Expertise)

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• Exposure to Agentic AI concepts and frameworks such as AgentCore
• Experience implementing:
• Simple Autonomous agents or workflows
• Multi-step reasoning with predefined tools
• Familiarity with tool-calling, agent orchestration, and workflow automation
• Understanding the importance of:
• Guardrails
• Human-in-the-loop mechanisms
• Logging and observability for agent behavior

Cloud Platform:

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• Working knowledge of key AWS services, including:
• S3, Lambda, Redshift, IAM, S3, AWS WAF, Query handler , Lambda Professional & Collaboration Skills

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• Strong programming skills and experience working with APIs