Machine Learning Engineer

7 days ago

Bengaluru, India Adecco Group Full time

Position : Machine Learning Engineer - Generative AI / LLMs (Onsite - Bengaluru)

Experience : 3+ years of industry experience in ML, software engineering, and data engineering.

Education : Masters degree or equivalent experience in Machine Learning.

Location : Bangalore (HSR Layout)

Job Description:

We are looking for a talented Machine Learning Engineer to join our AI team at our Bengaluru office (Onsite Only). In this role, you will work on cutting-edge solutions leveraging Generative AI, Large Language Models (LLMs), NLP, and Computer Vision to solve complex real-world problems.

Responsibilities:

  • Design, build, and deploy ML models for NLP, Computer Vision, LLMs, and Generative AI use cases.
  • Develop and maintain robust, scalable ML pipelines for training, evaluation, and deployment.
  • Optimize model performance using cloud-based GPU resources and best practices.
  • Implement scalable inference systems, A/B testing, and monitor production models.
  • Collaborate with cross-functional teams to deliver AI-driven product features.
  • Follow best practices in MLOps, LLMOps, Kubernetes, and Docker.

Required Skills:

  • Strong knowledge of Machine Learning, Deep Learning, NLP, and LLMs.
  • Experience with Python, PyTorch, TensorFlow.
  • Familiarity with Generative AI frameworks: Hugging Face, LangChain, MLFlow, LangGraph, LangFlow.
  • Cloud platforms: AWS (SageMaker, Bedrock), Azure AI.
  • Databases: MongoDB, PostgreSQL, Pinecone, ChromaDB.
  • MLOps tools, Kubernetes, Docker.

Preferred Qualifications:

  • 3+ years of experience in ML/AI product development.
  • Proven experience building and deploying NLP, LLM, and Generative AI solutions.
  • Experience working with LLMOps best practices.
  • Strong programming skills in Python and familiarity with JavaScript.

Interested candidates kindly share your CV and below details to

1) Present CTC (Fixed + VP) -

2) Expected CTC -

3) No. of years experience -

4) Notice Period -

5) Offer-in hand -

6) Reason of Change -

7) Present Location -

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