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AI / ML Developer

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Hybrid

AI / ML Developer

Tenarai Technologies

AI / ML Developer

Skills

MicroservicesMachine LearningAINo-code AutomationsFastAPI

6 days ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Hybrid

Published on:

15 October 2026

What they need


  • We are looking for a Senior AI/ML Engineer with 68 years of overall experience and strong hands-on expertise in Machine Learning and Generative AI (4–6 years).
  • This role focuses on building, deploying, and scaling AI solutions, including ML models, LLM-powered applications, and AI agent-based systems."
  • Key responsibilities & Hands-on experience with:
  • Can do Model Development (Core Responsibility)
  • Can build & refine ML models for use cases like anomaly detection, forecasting, classification, and RCA (root cause analysis).
  • Can perform data exploration, feature engineering, and statistical analysis to improve model accuracy and insights
  • Can design and evaluate LLM prompts, embeddings, and response quality for GenAI applications (RAG, copilots)
  • Can work on to build Agents, Multi-agents, Decision Flows
  • Can build scalable AI systems as GenAI / Engineer
  • Will Design and Implement data pipelines (ingestion ? preprocessing ? embeddings ? storage)
  • Will Generate design prompts for: Root cause explanation, Failure reasoning, Contextual insights
  • Will Develop APIs/microservices (FastAPI, backend services)
  • Will Handle vector DB setup & performance tuning
  • Will Integrate with Enterprise tools like QIR systems, model outputs, APIs,UI / dashboards
  • Will Manage data flow between systems

Required Skills & Qualifications

  • Design, build, and deploy machine learning models and Generative AI solutions, including LLM-based applications, RAG pipelines, and AI agents for real-world use cases.
  • Develop and optimize end-to-end AI pipelines (data preprocessing, feature engineering, model training, evaluation, and deployment).
  • Implement LLM frameworks (LangChain/LlamaIndex) and integrate with vector databases
  • Experience building AI Agents / multi-agent systems
  • LLMs (OpenAI, Llama, Mistral, etc.), LangChain / LlamaIndex,
  • RAG (Retrieval Augmented Generation), AI Agents / workflow automation
  • Vector Databases & Retrieval, Knowledge of embeddings and semantic search

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