AI Solution Architect Healthcare

1 day ago

Noida, Uttar Pradesh, India Coforge Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Title:
Medical Devices AI Solution Architect

Experience Required:
15+ Years

Location:
Greater Noida, 5 days work from office

Role Summary:

We are seeking a highly experienced Medical devices
AI Solution Architect
with deep expertise in
AI/ML solutioning and architecture
within the
pharmaceutical and biotech domains
. The ideal candidate will have a strong understanding of
pharma data
, relevant
regulatory frameworks
, and hands-on experience in designing and deploying AI/ML solutions across the medical devices
value chain
—including
R&D, manufacturing, supply chain, commercial operations, and patient safety
. This role demands strategic thinking, technical leadership, and cross-functional collaboration to drive innovation and transformation.

Key Responsibilities:

  • Design and architect
    end-to-end AI/ML solutions
    for pharma/biotech use cases.
  • Apply
    MLOps methodologies
    for efficient model development, deployment, and monitoring.
  • Leverage
    Cognitive AI techniques
    such as NLP, Computer Vision, Speech, and Conversational AI.
  • Develop and implement
    Document AI
    and
    Generative AI
    solutions, including custom LLMs.
  • Ensure seamless integration of AI solutions into
    cloud platforms
    (AWS, Azure, GCP).
  • Deliver and maintain
    production-grade ML systems
    with high scalability and reliability.
  • Provide
    technical leadership and mentorship
    to AI/ML teams.
  • Collaborate with data scientists, ML engineers, and business stakeholders to transition prototypes to production.
  • Prepare comprehensive documentation for architecture, design, and implementation.
  • Stay current with emerging trends in
    AI, LLMs, MLOps
    , and
    life sciences technologies
    .

Mandatory Skills:

  • 8+ years in AI/ML
    , with
    3+ years in Medical devices AI
    (pharma/biotech).
  • Proven experience in
    AI, ML, MLOps, Text Analytics, Generative AI
    .
  • Strong programming skills in
    Python and Java
    .
  • Experience with ML frameworks:
    TensorFlow, PyTorch, Keras, Scikit-learn
    .
  • Hands-on with cloud platforms:
    AWS, Azure, GCP
    .
  • Proficient in ML architectures:
    Ensemble Models, SVM, CNN, RNN, Transformers
    .
  • NLP tools:
    NLTK, SpaCy, Gensim
    .
  • MLOps tools:
    Kubeflow, MLflow, Azure ML
    .
  • Experience in
    Responsible AI
    ,
    LangChain
    , and
    Vector Databases
    .
  • Workflow tools:
    Airflow
    .
  • Microservices architecture and API development using
    FastAPI, Flask, Django
    .
  • Database expertise:
    SQL, NoSQL (MongoDB, Postgres, Neo4

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