Senior AI/ML Delivery Lead

This is a highly challenging role that requires strong technical leadership and strategic direction for AI teams.

• Job Description:

• The successful candidate will lead a team of data engineers, MLOps engineers, and machine learning engineers to achieve project objectives and deliverables.

• This role involves managing the day-to-day delivery of AI/ML projects, 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 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 & Thryve 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 Thryve 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 Thryve.
  • 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.

• Required Skills and Qualifications:

• • 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 US Health insurance with 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 Google Cloud Platform (GCP) or any public cloud platform.
  • 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.

• What We Offer:

• We offer a dynamic and collaborative work environment, where you can grow your skills and expertise while contributing to cutting-edge projects.

• How to Apply:

• If you are passionate about AI and ML and want to join a team of like-minded professionals, please submit your application.

About Us:

We are a leading provider of innovative solutions in the field of artificial intelligence and machine learning.