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Sigma Allied Services Private Limited

AI/ML Computational Science Specialist

7-12 Years
18 - 23 LPA
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Job Description

Job Title: AI/ML Computational Science Specialist – Multi-Agent AI

Experience: 7–12 Years

Qualification: Any Graduation

Job Summary

We are looking for an experienced AI/ML Computational Science Specialist with expertise in designing and implementing multi-agent AI systems. The ideal candidate will have strong experience in AI/ML, agentic AI frameworks, LLMs, workflow orchestration, and intelligent automation. You will build scalable AI agents, develop context-aware workflows, integrate external tools, and collaborate with cross-functional teams to deliver AI-powered business solutions.

Key Responsibilities

  • Design and develop multi-agent AI frameworks for intelligent automation and business workflows.
  • Build agent memory, context management, and tool integration capabilities.
  • Implement feedback loops and self-improving agent workflows.
  • Collaborate with product and business teams to translate requirements into AI-driven solutions.
  • Evaluate and optimize AI agent performance, scalability, and reliability.
  • Develop and integrate AI/ML models using modern frameworks and cloud platforms.
  • Troubleshoot complex AI workflows and continuously improve system performance.
  • Mentor junior team members and contribute to AI best practices.

Required Skills

  • Strong experience in Artificial Intelligence (AI) and Machine Learning (ML)
  • Experience with Multi-Agent AI Systems and Agentic AI Frameworks
  • Hands-on knowledge of Large Language Models (LLMs) and Generative AI
  • Experience with LangChain, LangGraph, AutoGen, CrewAI, Semantic Kernel, or similar frameworks
  • Strong programming skills in Python
  • Knowledge of Prompt Engineering and RAG (Retrieval-Augmented Generation)
  • Experience with Vector Databases (Pinecone, ChromaDB, FAISS, Weaviate)
  • API integration and tool orchestration experience
  • Understanding of cloud platforms (Azure/AWS/GCP)
  • Experience with Git and Agile development practices

Good to Have

  • AI workflow orchestration
  • Intelligent Automation
  • MLOps/LLMOps
  • Docker & Kubernetes
  • CI/CD pipelines
  • Marketing automation or customer engagement AI solutions

Soft Skills

  • Strong analytical and problem-solving skills
  • Excellent communication and stakeholder management
  • Ability to work collaboratively in cross-functional teams
  • Leadership and mentoring experience

More Info

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Job ID: 150914219

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AI MLPythonSqlApi TestingGenAILLMsRAG vector databasesnon-deterministic AI behaviorQA Automation Testing