Machine Learning Engineer - 2

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)

Machine Learning Engineer

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 usha.sundar@adecco.com

1) Present CTC (Fixed + VP) -

2) Expected CTC -

3) No. of years experience -

4) Notice Period -

5) Offer-in hand -

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