Assignment description

The primary objective of this assignment is to optimize the AI/ML ecosystem for the company (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.​
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The role will have an ongoing responsibility in overseeing the successful execution and continuous improvement of the AI/ML environment and governance structure.

Your responsibilities and day to day tasks:

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.​

Requirement Specifications:​

• 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 company’s overall strategic objectives and industry trends.​
• Be of assistance to internal teams that wants to evaluate potential use of AI/ML solutions. ​

The company offers:

• Possibility to impact how AI & ML is run and governed with in a large manufacturing company.
• Take active part in outlining architecture and processes
• Work with an international team

The company expects you to have/be:

• Minimum 10 years of 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
• Open to travel if needed for specific activities
• Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, Data Science, or a related field