AIML delivery manager

This role is for one of Weekday’s clients
Min Experience: 10 years
Location: Hyderabad, Chennai
JobType: full-time

Requirements

What You Will Do :
- Strategic Leadership : Define and execute the technical roadmap for AI/ML projects aligned with our healthcare goals, ensuring maximum impact and business value.

- Team Management & Mentoring : Build, mentor, and lead a high-performing team of AI/ML professionals, fostering a culture of innovation, collaboration, and continuous learning.

- End-to-End Solution Delivery : Oversee the entire MLOps lifecyclefrom data ingestion and model development to deployment and monitoringdelivering robust AI solutions for healthcare use cases.

- Cross-Functional Collaboration : Partner with business leaders, healthcare domain experts, data science, and engineering teams to translate complex healthcare challenges into effective AI models, including real-time and batch processes.

- Stakeholder Engagement : Serve as a trusted advisor and primary point of contact for key US and Indian stakeholders, ensuring transparency, alignment, and seamless communication.

- Innovation & Best Practices : Keep abreast of emerging AI/ML trends and incorporate cutting-edge technologies and methodologies to accelerate innovation and improve healthcare outcomes.

- Risk & Quality Management : Monitor project risks, escalate concerns proactively, and ensure adherence to timelines, scope, and quality standards.

- Operational Excellence : Drive process improvements, optimize workflows, and establish scalable best practices for AI project delivery.


Who You Are :
- Educational Background : Bachelor's in Engineering, Computer Science, or a related technical discipline. Advanced degrees are a plus.

- Experience : 12-15 years in AI/ML, with a minimum of 2 years leading large-scale AI/ML projects in healthcare or health insurance.

- Healthcare Expertise : Deep understanding of US health insurance industry or extensive experience working on healthcare AI solutions in India.

- Technical Proficiency : Hands-on experience with cloud platforms (preferably Google Cloud Platform), MLOps pipelines, and deploying enterprise-level ML models.

- Technical Skills : Strong grasp of AI/ML algorithms (supervised, unsupervised, reinforcement learning), model deployment, and scalable architecture design.

- Leadership & Communication : Proven ability to lead diverse teams, influence stakeholders, and communicate complex ideas clearly.

- Analytical & Process Skills : Skilled in risk management, process optimization, and continuous improvement.