12 - 19 years

15 - 27 Lacs

Bengaluru

Posted:3 weeks ago| Platform: Naukri logo

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Skills Required

MLOps Generative AI ML ops Machine Learning Deep Learning Gen AI

Work Mode

Work from Office

Job Type

Full Time

Job Description

Job description MLOps Engineer Bangalore (work at office) 5+ Years experience relevant in MLOPs Mandatory Skills: Strong proficiency in Generative AI, Large Language Models (LLMs), deep learning, agentic frameworks, and RAG setup. Experience in designing and implementing machine learning models using scikit-learn and TensorFlow. Hands-on expertise with AI/ML frameworks such as Hugging Face, LangChain, LangGraph, and PyTorch. Cloud AI services experience, particularly in AWS SageMaker and AWS Bedrock. MLOps & DevOps: Knowledge of data pipeline setup, Apache Airflow, CI/CD, and containerization (Docker, Kubernetes). API Development: Ability to develop and maintain APIs following RESTful principles. Technical proficiency in Elastic, Python, YAML, and system integrations. Nice to Have: Experience with Observability, Ansible, Terraform, Git, Microservices, AIOps, and scripting in Python. Familiarity with AI cloud services such as Azure OpenAI and Google Vertex AI.

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Allegis Global Solutions (AGS)
Allegis Global Solutions (AGS)

Staffing and Recruitment

Hanover

1000+ Employees

306 Jobs

    Key People

  • Gregory F. Popp

    President, Allegis Global Solutions
  • Michael F. Gentry

    Chief Financial Officer

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