Associate Data Scientist

Minfy Technologies; Gurugram District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Minfy Technologies is seeking a candidate with strong foundation in statistics and AI to work on GenAI, LLMs, and Agentic AI projects. The role emphasizes hands-on development of Bedrock-based applications and robust prompt engineering within end-to-end workflows.

Ideal applicants will have 1.5–2 years of AI/ML experience, familiarity with retrieval-augmented generation, vector stores, and multi-agent orchestration, and comfort collaborating across product, engineering, and analytics teams.

Qualifications

• Bachelor’s in CS / Data Science / Statistics / Mathematics or related field.
• Strong foundation in statistics, probability, LLM, 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, DynamoDB, Experience in Claude LLMs.
• Experience working on end-to-end Bedrock workflows.

Skills

Python

APIs

Cross-functional teamwork

Learning attitude

Communication of findings

Education

Bachelor's in CS / Data Science / Statistics / Mathematics

Tools

Amazon Bedrock

DynamoDB

Claude LLMs

S3

Lambda

Redshift

IAM

AWS WAF

Job description

• 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
• 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
• 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