Technical Skills

AI / ML Team Leader Profile

Key Responsibilities

Technical Leadership

• • Provide architectural and design guidance across software development and AI/ML projects.
  • Serve as the senior technical voice in India, working closely with the CTO on roadmap, priorities, and technical strategy.
  • Guide the integration of AI/ML components into production systems.
  • Work with outside agencies/vendors with projects and integrations.

Team Leadership & Mentorship

• • Lead, mentor, and grow a cross-functional team of software engineers and data scientists.
  • Foster a collaborative and high-performance team culture, with strong ownership and accountability.
  • Act as the problem solver, supporting team members on both technical and execution challenges.

Hands-on Engineering

• • Contribute directly to codebases (likely ~30 50% IC work), focusing on complex problems, design-heavy components, and critical integrations.
  • Review code, models, and architectures to ensure best practices across software and ML domains.

Execution & Delivery

• • Ensure the team meets deadlines, delivers quality software, and proactively manages risks.
  • Work with the CTO to balance immediate delivery needs with long-term technical health.
  • Own technical communication between Chennai and US teams.

  Qualifications

Experience

• • • 10 -12 years of hands-on software development experience, including leading teams.
    • Demonstrated experience managing or closely collaborating with AI/ML engineers or data science teams.
    • Prior experience as a lead engineer or staff engineer, or director-level engineer in a scaling organization.
    • Experience working with US based leadership or in distributed teams.
    • Experience working in US based healthcare companies and RCM companies.

Technical Skills

• • • Strong backend engineering (e.g., PHP Laravel, Vue.js, Node.js, Python) and cloud architecture (GCP).
    • Experience with AI/ML pipelines, model integration, or collaborating with data scientists.
    • Good grasp of CI/CD, DevOps, and system performance optimization.
    • Solid grounding in software engineering fundamentals (scalability, security, maintainability).

Leadership Skills

• • • Excellent communication, especially in remote/global contexts.
    • Strong problem solving and decision making abilities.
    • Ability to balance IC contribution with technical oversight.