Healthcare AI Solution Architect
Coforgeuttar pradesh, India2 days ago
Job description8+ 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) . 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.
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 :
Desirable Skills :
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Solution Architect • uttar pradesh, India
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