Healthcare AI Solution Architect

4 days ago

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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