AI / ML Engineer – GenAI & MLOps Focus

We're Hiring : AI / ML Engineer – GenAI & MLOps Focus.

Job Locations : Pune & Greater Noida Only.

Experience Required : 3 to 6 Years

Company : Coforge Ltd.

At Coforge Ltd. , we are looking for a passionate and skilled AI / ML Engineer with a strong foundation in machine learning, MLOps, and Generative AI. This role is ideal for professionals with 3 to 6 years of experience who are eager to work on real-world AI applications, including LLMs, NLP, Computer Vision, and Conversational AI .

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✅ Key Skills Required

Core AI / ML Skills : -

End-to-end AI / ML solution design and architecture

Model development, deployment, and monitoring (MLOps)

Experience with :

Natural Language Processing (NLP)

Computer Vision

Speech & Conversational AI

Document AI

Generative AI & LLMs (e.g., LangChain, custom LLMs)

Programming & Frameworks : -

Languages : Python, Java

ML Frameworks : TensorFlow, PyTorch, Keras, Scikit-learn

NLP Tools : NLTK, SpaCy, Gensim

API Frameworks : FastAPI, Flask, Django

Cloud & MLOps : -

Cloud Platforms : AWS, Azure, GCP

MLOps Tools : Kubeflow, MLflow

Workflow Orchestration : Apache Airflow

AI System Design : -

Neural Network Architectures : SVM, CNN, RNN, Transformers, Ensemble Models

Vector Databases (for LLMs and RAG)

Microservices Architecture

Responsible AI Practices

Databases

SQL : PostgreSQL

NoSQL : MongoDB, Neo4j

Soft Skills

Strong communication

Technical leadership and mentorship

Cross-functional collaboration

Documentation and knowledge transfer

What We’re Looking For

3 to 6 years of hands-on experience in AI / ML

Proven ability to design and deploy production-grade AI systems

Proficiency in MLOps for scalable and maintainable pipelines

Experience with Cognitive AI (NLP, Vision, Speech)

Hands-on with LLMs and Generative AI is a big plus

Cloud-native mindset with experience in AWS, Azure, or GCP

Strong team player with leadership potential

Passion for staying updated with the latest in AI / ML and GenAI

Ability to collaborate across teams and drive AI adoption