
AI and Machine Learning Project Lead
4 days ago
As a Lead AI/ML Delivery Manager, you will be responsible for leading the AI team, contributing to technical strategy and decision-making.
The role involves managing the day-to-day delivery of the AI/ML team, responsible for building, deploying, and maintaining robust, scalable, and efficient machine learning 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.
- 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.
- Serve as a primary point of contact for stakeholders, ensuring clear communication and alignment 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 teams.
- 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.
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.
- Strong understanding of relevant industry trends with at least 3+ years of experience.
- 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.
- 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.
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