▷ (High Salary) AIML Technical delivery manager
4 weeks ago
This role is for one of the Weekday's clients
Salary range: Rs 3500000 - Rs 5500000 (ie INR 35-55 LPA)
Min Experience: 11 years
Location: Telangana, Hyderabad, Chennai
JobType: full-time
We are seeking an experienced AI/ML Technical Delivery Manager to lead and manage the delivery of AI/ML initiatives. This role combines technical leadership, project management, and stakeholder collaboration to ensure the successful design, development, deployment, and scaling of robust and production-ready ML solutions.
Requirements
Key Responsibilities
- Provide strategic and technical leadership for the AI/ML team, ensuring alignment with organizational goals.
- Lead, mentor, and manage a team of data engineers, MLOps engineers, and ML engineers to deliver end-to-end AI/ML solutions.
- Drive AI/ML architecture design, implementation, and optimization.
- Collaborate with cross-functional teams (business, engineering, infrastructure, data science) to transform requirements into production-grade AI/ML solutions for both batch and real-time use cases.
- Act as the primary liaison between India and US stakeholders, ensuring effective communication, goal alignment, and smooth delivery.
- Guide AI/ML engineers in aligning technical work with business outcomes, ensuring the development of optimal models for defined use cases.
- Oversee day-to-day project delivery, ensuring adherence to timelines, scope, quality standards, and processes.
- Identify risks and proactively establish mitigation and contingency plans in collaboration with leadership and stakeholders.
- Track delivery progress, provide clear reporting, and take ownership of client deliverables.
- Stay current with emerging AI/ML technologies and research, identifying opportunities to implement new models and tools.
- Propose and enforce best practices in AI/ML engineering, MLOps, and experimentation frameworks to accelerate scalable feature development.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related discipline.
- 12–15 years of professional experience, including 2+ years managing AI/ML initiatives with measurable business impact.
- Minimum of 3 years’ experience in the US healthcare/health insurance domain.
- Strong expertise in AI/ML algorithms (supervised, unsupervised, reinforcement learning) and MLOps practices.
- Proven track record of taking complex ML solutions from research/experimentation to production.
- Hands-on experience with GCP or other major cloud platforms.
- Excellent communication, stakeholder management, and presentation skills.
- Demonstrated ability to motivate and inspire teams, fostering collaboration and innovation.
- Strong risk management and process improvement mindset.
- Ability to work across global teams, balancing technical delivery with business needs.
Skills
- AI/ML
- Generative AI
- MLOps
- Python
- Team Leadership & Management
- Technical Delivery & Stakeholder Coordination
- Individual Contribution in AI/ML Solutions
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