AI Engineering Leadership Role

3 days ago

Aligarh, Uttar Pradesh, India beBeeMachineLearning Full time ₹ 1,20,00,000 - ₹ 2,01,00,000

Job Title: AI ML Technical Delivery Manager

 

Role Overview:

The AI Delivery Manager leads the AI team, contributing to technical strategy and decision-making. This role involves managing the day-to-day delivery of the AI/ML team, responsible for building, deploying, and maintaining robust, scalable, and efficient ML models.

Key Responsibilities:

  • Provide technical leadership and strategic direction for the AI team, aligning with overall business 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.
  • Act as a primary point of contact for 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 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.
  • Communicate effectively with team members, 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 practices for scaling ML-powered features, enabling fast iteration and efficient experimentation with novel features.

Requirements:

  • 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 healthcare and at least 3+ years of experience in the same.
  • Experience and understanding of the entire MLOps pipeline, from data ingestion to production.
  • Strong understanding of AI/ML concepts & algorithms, including supervised, unsupervised, and reinforcement learning, as well as MLOps.
  • Proven ability to take successful, complex ideas from experimentation to production.
  • Hands-on experience with public cloud platforms.
  • Excellent communication, presentation, and interpersonal skills.
  • Proven experience in leading, motivating & inspiring teams to foster collaboration.
  • Proficient in identifying, assessing, and calling out risks and mitigation plans to stakeholders.
  • Experience in implementing process improvements and learning from past projects to enhance future performance.
  • Ability to analyze external and internal processes and create strategies for service delivery optimization.
  • Experience in working with diverse teams and stakeholders, understanding their needs and managing expectations.

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