Assignment Description
- The primary objective of this assignment is to optimize the AI/ML ecosystem for our client (technology development and digital product development) and establish a robust governance structure.
- The role will be responsible for assessing the current AI/ML infrastructure, proposing a strategic plan for enhancement, identifying suitable suppliers for AI/ML operations platforms, and developing requirement specifications for platform procurement.
- Second objective is to design a governance framework that aligns with legal requirements and industry best practices in the AI domain.
- The role will have an ongoing responsibility in overseeing the successful execution and continuous improvement of the AI/ML environment and governance structure.
Responsibilities
AI/ML Architecture Overview:
- Perform an assessment of Technology Development existing AI/ML architecture, including data pipelines, algorithms, and models and their scalability.
- Identify areas of improvement, optimization, and potential risks in the current AI/ML systems.
- Provide recommendations for enhancement.
- Strategic Roadmap Development:
- Propose a roadmap to advance TD AI/ML capabilities, outlining short-term and long-term goals.
- Define milestones, timelines, and resource requirements for the proposed roadmap.
AI/ML Operations Platform Review:
- Evaluate potential suppliers for AI/ML operations platforms, considering factors such as functionality, scalability, compatibility, and cost.
- Compare and rank suppliers based on their ability to meet the TD specific needs and requirements.
- Prepare a summary report of the supplier analysis, including the top contenders and recommendations for moving forward.
Responsibilities
- Develop a detailed requirement specification document to streamline the procurement process for an AI/ML operations platform.
- Include essential features, technical specifications, and other criteria crucial to the company’s successful implementation and utilization of the platform.
- Ensure the requirement specifications align with the strategic roadmap and adhere to industry best practices.
Governance Structure Development:
- Design a governance structure to comply with the AI Act and other legal requirements in the AI domain.
- Establish guidelines and procedures for AI ethics, data privacy, model transparency, and risk management.
- Provide recommendations for internal training, communication, and monitoring to ensure adherence to the governance structure.
Long-term Ownership and Management:
- Act as the primary point of contact for ongoing AI/ML strategy, platform management, and governance-related matters.
- Collaborate with internal teams and external partners to ensure alignment with the SKF overall strategic objectives and industry trends.
- Be of assistance to internal teams that wants to evaluate potential use of AI/ML solutions.
Requirements
- AI/ML experience, including 5 years in senior consulting or management roles.
- Track record of designing, implementing, and optimizing AI/ML architectures in medium to large enterprises.
- Extensive experience in AI/ML strategic roadmaps, setting milestones, timelines, and managing resources.
- Hands-on experience in researching, evaluating, and selecting AI/ML operations platforms.
- Expertise in developing AI/ML platform requirement specifications and managing procurement.
- Prior experience in AI governance structure design and implementation.
- Familiarity with AI Act, legal requirements, and industry best practices.
- Strong communication, collaboration, and project management skills.
- Proficient in monitoring, evaluating, and improving AI/ML environments and governance structures.
- Self-driven and ease at dealing with ambiguity in work situations.
- Experience in defining solutions to business needs.
- Fluency in English, other language skills are meriting.
- Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, Data Science, or a related field.
