Machine Learning Engineer

5 - 10 years

6 - 7 Lacs

Posted:5 hours ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

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Were looking for an experienced

Machine Learning Engineer

with a passion for Generative AI to join our pioneering team. Youll be instrumental in developing next-generation AI solutions, from fine-tuning Large Language Models (LLMs) to building autonomous AI agents. If youre excited by the prospect of applying cutting-edge AI to solve complex challenges in industrial and engineering domains, this role is for you.

Key Responsibilities

Generative AI Development:

Design, develop, and fine-tune Large Language Models (LLMs) and other generative models for specific business applications.

Agentic AI Systems:

Design and build autonomous AI agents capable of reasoning, planning, and using tools to execute complex tasks.

End-to-End Model Deployment:

Manage the entire lifecycle of ML models, including deployment into production and building robust MLOps pipelines.

System Architecture:

Collaborate with cross-functional teams to architect scalable, production-ready systems for generative AI on cloud platforms.

Research & Prototyping:

Stay at the forefront of AI research, rapidly prototyping new models, agents, and algorithms to drive innovation.

Mentorship:

Guide junior engineers and promote best practices in building reliable and efficient AI systems.

Required Skills & Qualifications

Experience:

5+ years of hands-on experience in a machine learning role, with a proven track record of deploying models into production.

Programming Proficiency:

Expert-level skills in

Python

and its core data science libraries (e.g., NumPy, Pandas, Scikit-learn).

GenAI & LLM Experience:

Demonstrable experience with

Generative AI

, including LLMs (e.g., GPT series, Llama) and proficiency with frameworks like

LangChain

,

LlamaIndex

, or

Hugging Face Transformers

.

ML Frameworks:

Deep experience with

TensorFlow

or

PyTorch

.

Cloud Platforms:

Strong proficiency in a major cloud provider (

AWS

,

GCP

, or

Azure

) and their ML services (e.g., SageMaker, Vertex AI, Azure ML).

MLOps Tools:

Hands-on experience with MLOps tools and concepts, including

Docker

,

Kubernetes

, and CI/CD pipelines.

Preferred Qualifications

An educational or professional background in

Civil or Mechanical Engineering

is a strong plus.
Experience building agentic AI systems with capabilities for planning and multi-step reasoning.
Masters or Ph.D. in Computer Science, AI, or a related quantitative field.
Contributions to open-source AI/ML projects.
Experience with large-scale data processing frameworks like Spark or Dask.

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