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AI / ML Engineer – GenAI & MLOps Focus

AI / ML Engineer – GenAI & MLOps Focus

CoforgePune, Maharashtra, India
7 days ago
Job description

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
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