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AI Solution Architect Healthcare

15 years

0 Lacs

noida uttar pradesh india

Posted:1 day ago| Platform: Linkedin logo

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Skills Required

ai healthcare ml manufacturing leadership collaboration drive design model development deployment vision integration aws azure scalability data documentation architecture analytics programming python tensorflow pytorch keras svm nltk mlflow workflow microservices api fastapi flask database sql nosql mongodb

Work Mode

On-site

Job Type

Full Time

Job Description

Title:

Experience Required:

Location:


Role Summary:

AI Solution Architect


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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