Description :

Job Title : AI Team lead

Experience range : Ideally 8 -13 years of overall experience. (Candidates with 6+ years of relevant domain expertise and strong skill alignment will also be considered)

Location : Pune

Mode of work : Hybrid

Department : Technology & Innovation

Employment Type : Full-Time

Environment : Product Based

About the Role :

We are looking for an experienced and highly skilled AI Team Lead to drive the development of intelligent systems for unstructured healthcare document processing. In this role, you will lead a high-performing AI/ML team to build, deploy, and optimize deep learning models across OCR, NLP, medical coding, risk adjustment, and document classification. You will be responsible for architecting end-to-end pipelines, ensuring secure and scalable delivery on cloud platforms, and partnering closely with clinical SMEs and cross-functional teams. This position requires strong technical leadership, hands-on problem-solving skills, and the ability to deliver impactful AI solutions at scale.

Key Responsibilities :

- Architect and build end-to-end AI/ML pipelines for healthcare document intelligence.

- Lead the development of custom deep learning models for OCR, NLP, medical coding, risk adjustment, and document classification.

- Drive innovation by applying LLMs and Generative AI techniques to healthcare data challenges.

- Ensure secure, scalable, and high-performance deployment of models on Azure or equivalent cloud platforms.

- Collaborate with clinical SMEs, engineering teams, product managers, and business stakeholders.

- Own technical decision-making, delivery timelines, code quality, and model performance benchmarks.

- Integrate OCR engines and document image processing pipelines with AI models.

- Guide the team on modern ML Ops workflows using Docker, Kubernetes, and CI/CD automation.

- Promote best practices, conduct reviews, and mentor team members on AI/ML methodologies.

Required Skills & Qualifications :

- 10+ years of experience in AI/ML, with a strong background in deep learning.

Hands-on expertise with :

1. PyTorch, TensorFlow, Keras

2. Transformer models like BERT, BioBERT, ClinicalBERT, GPT family, MedPaLM (or ability to adapt to similar models)

- Strong experience in Computer Vision for document image analysis, segmentation, and OCR.

- Solid understanding of LLMs, Generative AI techniques, and prompt engineering.

- Proficiency with Azure ML (preferred) and experience deploying models using Docker/Kubernetes.

- Strong grasp of ML Ops practices, CI/CD pipelines, and cloud-based AI workflows.

- Familiarity with clinical ontologies and healthcare data standards.

- Strong analytical, architectural, and problem's olving skills.

- Excellent communication and collaboration abilities, with proven experience in team leadership.

- Ability to translate business requirements into scalable technical solutions.

- Bachelor's degree required (minimum 15 years of full?time education).

Nice to Have :

- Deep understanding of ICD 10/11 coding frameworks and risk adjustment models.

- Experience working with FHIR, HL7, EHR/EMR systems.

- Knowledge of clinical workflows and medical terminology.

- Familiarity with LLaMA, Scikit learn, NumPy, Pandas.

- Relevant certifications in AI/ML or cloud technologies (e.g., Microsoft, Google, DeepLearning.AI).

- Exposure to performance optimization, scalable ML design, and advanced debugging techniques