Healthcare AI Solution Architect

10 hours ago

New Delhi, India Coforge Full time

Title - Healthcare AI Solution ArchitectExperience - 15+ yearsLocation - Greater Noida, 5 days work from officeWe 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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