Hiring AI/ML Engineer/Architect from Healthcare domain background

Hi All,

Hiring skilled Data Scientist/AI Engineer with healthcare domain expertise for our leading client. Interested candidate can drop resume to [email protected]

Experreince-5+ years

Skill- AI/ML with SLM knowledge (Small Language Models)

Work Mode-WFO

Work location- Chennai/Bangalore/Hyderabad

Notice period- Immediate to 30 days max

Role & responsibilities

Architecture & Strategy

• Define and own the enterprise architecture, standards, and roadmap for Small Language Model (SLM) development.
• Design domain-specific SLMs optimized for accuracy, latency, cost, and scalability.
• Drive architectural decisions for model selection, fine-tuning, compression, and inference optimization.
• Ensure alignment of AI solutions with enterprise security, compliance, and governance requirements.

Advanced Model Development

• Lead the design, development, and deployment of ML, DL, and SLM-based solutions.
• Apply deep mathematical and statistical knowledge to optimize model performance.
• Demonstrate successful delivery of multiple production deployments with measurable business impact.
• Provide architectural oversight for traditional ML, deep learning, and NLP-based systems.

NLP & Language Modeling

• Architect and guide solutions involving NLP, embeddings, transformers, and language models.
• Lead fine-tuning and adaptation of language models for domain-specific use cases.
• Establish best practices for prompt engineering, evaluation metrics, and performance monitoring.

Technical & Platform Leadership

• Provide technical authority in Python, scientific computing, and data processing frameworks.
• Guide teams on the effective use of TensorFlow, PyTorch, and Keras.
• Ensure high-quality analytical data access through complex and optimized SQL designs.
• Oversee development in Linux and GPU-based environments.

Cloud, MLOps & Production Readiness

• Architect and govern ML/AI solutions on AWS or Azure platforms.
• Define and enforce MLOps standards, including CI/CD, model versioning, monitoring, and lifecycle management.
• Ensure reliability, scalability, and maintainability of AI systems in production.

Leadership & Mentorship

• Act as Principal Architect and technical mentor for Data Scientists and ML Engineers.
• Lead design reviews, technical decision forums, and architectural governance boards.
• Collaborate closely with product, engineering, security, and compliance stakeholders.
• Drive innovation while ensuring delivery discipline in Agile environments.

Preferred candidate profile

• Strong foundation in ML algorithms: Random Forest, SVM, Regression models, Boosting & Bagging
• Deep learning expertise: CNN, RNN, LSTM, GRU
• Advanced NLP and language model experience
• Expert-level Python programming
• Cloud-based ML architecture and deployment
• Enterprise AI governance and best practices

Preferred / Nice to Have

• Experience with Computer Vision cases
• Exposure to Responsible AI, model risk management, and regulatory compliance
• Experience defining AI strategy at an organizational or platform level