
AI/ML Technical Delivery Manager
22 hours ago
Job Title: AI/ML Technical Delivery Manager
">The AI/ML Technical Delivery Manager plays a crucial role in leading the AI team, contributing to technical strategy and decision-making. This position involves managing the day-to-day delivery of the AI/ML team, responsible for building, deploying, and maintaining robust, scalable, and efficient ML models.
">- Provide technical leadership and strategic direction for the AI team, aligning with overall company objectives.">
- Lead and mentor a team of data engineers, MLOps engineers, and machine learning engineers to achieve project objectives and deliverables (development and deployment of ML models for AI use cases across the platform).">
- Contribute to AI/ML architecture design and implementation.">
- Collaborate with business, engineering, infrastructure, and data science teams to translate their needs or challenges into production-grade Artificial Intelligence and Machine Learning models for batch and real-time requirements.">
- Serve as a primary point of contact for US leaders, ensuring clear communication and aligning with project goals and objectives.">
- Guide the AI/ML engineers with respect to business objectives, connecting the dots, and helping the team come up with optimal ML models based on use cases.">
- Manage day-to-day operations, ensuring adherence to process, scope, quality, and timelines.">
- Assume the role of an engagement coordinator between the India team and US counterparts (techno-functional).">
- Highlight risks and concerns to the leadership team and work with multiple stakeholders to establish alignment, contingency, and/or mitigation plans as required.">
- Proactively track delivery statuses and project progress, taking ownership of all deliverables from the organization.">
- Communicate effectively with team members, US stakeholders, and management.">
- Stay up-to-date with the latest trends and advancements in AI and ML, and identify opportunities for the team to implement new models and technologies.">
- Propose and implement best engineering and research practices for scaling ML-powered features, enabling fast iteration and efficient experimentation with novel features.
- Bachelor's degree in engineering, computer science, or a related field.">
- 12 to 15 years of total experience, with at least 2 years of experience leading/managing AI/ML projects, achieving clear & measurable business objectives.">
- Strong understanding of AI/ML concepts & algorithms, including supervised, unsupervised, and reinforcement learning, as well as MLOps.">
- Hands-on experience with Google Cloud Platform (GCP) or any public cloud platform.">
- Excellent communication, presentation, and interpersonal skills.">
- Proven ability to take successful, complex ideas from experimentation to production.">
- Experience in implementing process improvements and learning from past projects to enhance future performance.
Technical leadership, AI/ML project management, collaboration, risk management, communication, and staying up-to-date with AI/ML advancements.
">Key Responsibilities Include:">Providing technical leadership, mentoring team members, contributing to AI/ML architecture design, collaborating with other teams, serving as a primary point of contact, guiding AI/ML engineers, managing day-to-day operations, assuming an engagement coordinator role, highlighting risks and concerns, tracking delivery statuses, and communicating effectively.
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