Sr AI/ML Engineer

5 hours ago

Hyderabad, Telangana, India IRIS Business Services Limited Full time ₹ 15,00,000 - ₹ 25,00,000 per year

Job Title : AI/ML Engineer

Location
: Vashi, Navi Mumbai (Work from Office- 5days a week)

Key Responsibilities:

  • Design, develop, and deploy AI/ML models using PyTorch and TensorFlow.
  • Implement scalable APIs and services using
    FastAPI
    for model integration.
  • Apply
    Scikit-learn
    and other ML libraries to build classical ML solutions where relevant.
  • Develop
    Generative AI
    models and integrate
    RAG pipelines
    for intelligent information retrieval.
  • Experiment with and implement
    Agentic AI frameworks
    for autonomous decision-making systems.
  • Collaborate with data scientists, engineers, and product managers to align AI initiatives with business needs.
  • Optimize models for performance, scalability, and cost-efficiency in production environments.
  • Stay updated with the latest research and advancements in AI/ML and apply them in practical scenarios.

Must-Have Skills & Qualifications

  • 3+ years of hands-on experience as an AI/ML Engineer or similar role.
  • Strong proficiency in
    PyTorch
    and
    TensorFlow
    .
  • Experience with
    FastAPI
    for developing and deploying APIs.
  • Solid understanding of
    Scikit-learn
    and traditional ML techniques.
  • Proven expertise in
    Generative AI (GenAI)
    .
  • Hands-on experience with
    RAG (Retrieval Augmented Generation)
    implementations.
  • Experience building and deploying
    Agentic AI systems
    .
  • Strong problem-solving skills and ability to work in cross-functional teams.
  • Excellent communication skills.

Good-to-Have:

  • Knowledge of cloud platforms (AWS, GCP, or Azure) for AI/ML deployment.
  • Familiarity with vector databases (e.g., Pinecone, Weaviate, FAISS, Milvus).
  • Experience with MLOps frameworks for model lifecycle management.
  • Contributions to AI/ML open-source projects or published research.

Educational Qualifications:

Bachelor's or master's degree in:

  • Computer Science / Engineering
  • Mathematics
  • Statistics or related quantitative fields

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