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AI Manager
1 month ago
Role Summary :
The AI 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.
Essential 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.
- 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.
- Highlight risks and concerns to the leadership team and work with multiple stakeholders to establish alignment, contingency, and/or mitigation plans as required.
- 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 16 years of total experience, with at least 3 years of experience leading/managing AI/ML projects (Worked in Predictive modeling projects), achieving clear & measurable business objectives.
- Good understanding of US Health insurance with at least 2+ 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.
- Experience In handling team & managing multiple stakeholders.
