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ChatOps Gen AI Engineer
ChatOps Gen AI EngineerConfidential • Bengaluru / Bangalore
ChatOps Gen AI Engineer

ChatOps Gen AI Engineer

Confidential • Bengaluru / Bangalore
30+ days ago
Job description

Responsibilities :

  • Generative AI Development : Design and implement solutions leveraging Generative AI, Large Language Models (LLMs), deep learning, agentic frameworks, and RAG (Retrieval-Augmented Generation) setup.
  • Machine Learning Model Implementation : Implement machine learning models using scikit-learn and TensorFlow .
  • AI / ML Frameworks : Utilize Hugging Face, LangChain, LangGraph, and PyTorch for AI / ML development.
  • Cloud AI Services : Work with cloud AI services, particularly AWS SageMaker and AWS Bedrock .
  • MLOps & DevOps : Contribute to MLOps and DevOps practices , including data pipeline setup, Apache Airflow, CI / CD , and containerization (Docker, Kubernetes) .
  • API Development : Develop and maintain APIs following RESTful principles .
  • System Integration : Integrate various systems using technical proficiency in Elastic, Python, YAML .

Required Skills :

  • Strong proficiency in Generative AI, Large Language Models (LLMs), deep learning, agentic frameworks, and RAG setup .
  • Ability to design and implement machine learning models using scikit-learn and TensorFlow .
  • Hands-on expertise with AI / ML frameworks such as Hugging Face, LangChain, LangGraph, and PyTorch .
  • Proficiency with cloud AI services, particularly AWS SageMaker and AWS Bedrock .
  • Knowledge of MLOps and DevOps practices , including data pipeline setup, Apache Airflow, CI / CD, and containerization (Docker, Kubernetes) .
  • Ability to develop and maintain APIs following RESTful principles .
  • Technical proficiency in Elastic, Python, YAML , and system integrations.
  • Nice to Have :

  • Proficiency with Observability tools, Ansible, Terraform, Git, Microservices, AIOps , and scripting in Python.
  • Familiarity with AI cloud services such as Azure OpenAI and Google Vertex AI .
  • Skills Required

    Deep Learning, Tensorflow, Devops

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