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Associate Data Scientist

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Job Description

Associate AI Engineer

Education

    • 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

    • 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)

    • 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

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

    • Strong Python programming skills and experience working with APIs
    • Ability to work effectively in cross-functional teams (product, engineering, analytics)
    • Willingness to learn quickly in a fast-evolving AI landscape ( flexibility and learning attitude )
    • Comfortable taking technical guidance and implementing feedback
    • Clear communication of findings, limitations, and model behavior to non-technical stakeholders
Nice to Have

    • Certifications in AWS Bedrock Gen AI Developer Professiona, Machine Learning, or Data Science

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Job ID: 152130643

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