Data Scientist

Minfy Technologies; Hyderabad; Sur place; INR 4 000 000 - 6 000 000; Plein temps

Résumé du poste

Minfy Technologies is seeking a seasoned AI engineer to develop LLM-powered applications using Bedrock and related AWS services. You will design end-to-end Bedrock workflows, build RAG pipelines, and optimize prompts for accuracy and safety.

The role requires 3–5 years of experience in LLMs/Agentic AI, strong Python skills, and the ability to translate business needs into data-driven solutions. Hybrid collaboration with product and engineering teams is expected.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or related field.
• Strong academic foundation in statistics, probability, and LLM/Agentic AI with AWS Bedrock experience.
• 3–5 years of professional experience in LLM and Agentic AI.
• Experience with Bedrock, security APIs from AWS, DynamoDB, and Claude LLMs.
• Experience end-to-end Bedrock workflows and translating business needs into data-driven solutions.

Responsabilités

• Develop LLM-powered applications using Bedrock or similar platforms.
• Build or contribute to Retrieval-Augmented Generation (RAG) pipelines with document ingestion, chunking, and vector search.
• Engineer prompts, tune models, and evaluate outputs for accuracy and safety.
• Implement autonomous agents/workflows with multi-step reasoning and tool-calling.
• Ensure governance, logging, observability, and human-in-the-loop mechanisms.

Connaissances

Python programming

APIs integration

Cross-functional collaboration

Problem solving

Security awareness

Documentation

Prompt engineering

Model evaluation

LLM development

Agentic AI concepts

Formation

Bachelor’s or Master’s degree in Computer Science or related field

Outils

AWS Bedrock

DynamoDB

S3

Lambda

Redshift

IAM

AWS WAF

Claude AI

Azure / GCP (preferred)

Description du poste

• Bachelor’s or Master’s degree 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
• Machine Learning and Neural networks required
• 3-5 years of professional experience in LLM, Agentic AI
• All aspects of BEDROCK, use of security APIs from AWS, Dynamo DB, Experience in Claude LLMs
• Experience working on end-to-end Bedrock workflows
• Ability to translate business and product requirements into data-driven solutions

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
• Understanding of common LLM failure modes such as hallucinations and grounding issues
• Ability to evaluate LLM responses for accuracy, relevance, and safety

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
• Preferred Knowledge on MS Azure and GCP

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

• Initial exposure to AI governance, compliance, or ethical AI practices
• Experience with monitoring LLM outputs and basic evaluation frameworks
• Certifications in AWS Bedrock Gen AI Developer Professional, Machine Learning, or Data Science; Certified Claude AI Architect ( foundation)

Required Skills

Agentic AI Artificial Intelligence/Machine Learning generative AI