Healthcare AI Solution Architect

5 days ago

Noida, Uttar Pradesh, India Coforge Full time

Title
- Healthcare AI Solution Architect

Experience
- 15+ years

Location
- Greater Noida, 5 days work from office

We are looking for a seasoned
Healthcare AI Solution Architect
with over 15 years of industry experience, including 8+ years in AI/ML and at least 3 years in the
US health insurance/payer domain
. The ideal candidate will lead the
design, implementation, optimization, and governance
of AI/ML solutions tailored to healthcare and payer use cases, ensuring compliance with
HIPAA
and other relevant regulations. This is a strategic role requiring deep technical expertise, domain knowledge, and leadership capabilities.

Key Responsibilities
:

  • Architect and deliver
    end-to-end AI/ML solutions
    for healthcare and payer use cases.
  • Apply
    MLOps methodologies
    to streamline model lifecycle management.
  • Leverage
    Cognitive AI techniques
    including 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).
  • Maintain
    robustness, scalability, and reliability
    of production-grade ML systems.
  • Provide
    technical leadership and mentorship
    to AI/ML teams.
  • Collaborate with cross-functional teams to transition prototypes into scalable products.
  • Prepare comprehensive documentation for architecture, design, and implementation.

Mandatory Skills & Qualifications:

  • 8+ years in AI/ML
    , with
    3+ years in healthcare/payer AI
    .
  • Proven expertise 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, Neo4j)
    .

Desirable Skills:

  • Degree in
    Statistics, Mathematics, Computer Science
    , or related field (Bachelor's/Master's/PhD).
  • Experience with
    statistical and data mining techniques
    : GLM, Regression, Random Forest, Boosting, etc.
  • Advanced ML algorithms:
    clustering, decision trees, neural networks, simulation, scenario analysis
    .
  • Experience with
    R, Python
    for statistical computing.
  • Contributions to
    open-source AI/ML projects
    or published research.
  • Data visualization tools:
    Matplotlib, ggplot
    .
  • Exposure to
    Big Data platforms
    : Hadoop, Spark, Kafka.
  • Strong
    problem-solving
    ,
    collaboration
    , and
    communication
    skills.
  • Architect-level certifications
    are a plus.

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