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AI and ML Healthcare Architect

AI and ML Healthcare Architect

CoforgeNoida, Republic Of India, IN
13 days ago
Job description

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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