Head of AI/ML, CookUnity

• 10+ years of experience in AI/ML, data engineering, or related fields, with at least 3 years in a leadership role
• Proven experience leading cross-functional teams in an agile environment, with a strong ability to balance technical execution and strategic vision
• Expertise in machine learning algorithms, data pipelines, and AI/ML model deployment at scale
• Solid understanding of Large Language Models (LLMs) and Generative AI (GenAI), and how to integrate these technologies into business operations
• Strong understanding of cloud technologies (AWS, GCP, Azure) and modern data stack solutions (e.g., Apache Kafka, Snowflake, Redshift)
• Deep knowledge of data engineering best practices, including ETL processes, data warehousing, and data governance
• Strong communication skills, with the ability to clearly convey complex technical concepts to both technical and non-technical stakeholders
• Ability to drive change, inspire innovation, and foster a collaborative and results-driven team environment

Desirable

• As the Head of AI/ML/GenAI, you will lead a high-performing team of AI/ML engineers, and embedded data engineers
• You will be responsible for driving the vision and strategy for CookUnity’s AI/ML/GenAI initiatives, data infrastructure, and community-driven engineering efforts
• This is a unique opportunity to build and scale state-of-the-art AI/ML solutions that fuel growth and innovation within the company, while fostering a collaborative environment that leverages the expertise of engineers across various domains
• This role reports directly to the Chief Technology Officer (CTO), working closely with senior leadership to align AI/ML strategy with the overall business vision
• A key focus of this role will be accelerating the adoption and integration of Large Language Models (LLMs) and Generative AI (GenAI) technologies across CookUnity, enabling innovative product features and internal efficiencies
• Lead, mentor, and develop a cross-functional AI/ML team, including data engineers and embedded data engineers
• Foster a community-driven culture that encourages knowledge sharing, collaboration, and continuous learning
• Align team objectives with broader company goals, ensuring that projects are executed effectively and efficiently
• Drive the development of scalable AI/ML solutions that support both operational and strategic goals at CookUnity
• Develop and implement machine learning models that improve customer personalization, operational efficiency, and data-driven decision-making
• Lead the integration and adoption of Large Language Models (LLMs) and Generative AI (GenAI) to enhance product features, improve customer experience, and accelerate business growth
• Stay at the forefront of emerging AI/ML technologies, including LLMs and GenAI, and apply relevant innovations to solve complex problems
• Oversee the architecture of CookUnity’s data pipelines, ensuring they are robust, scalable, and efficient to support machine learning, analytics, and GenAI model deployments
• Manage the end-to-end lifecycle of data processing, including ingestion, storage, transformation, and analytics
• Collaborate with the infrastructure team to ensure data platforms are optimized for performance, reliability, and security
• Work closely with product, engineering, and business teams to understand their data needs and deliver impactful solutions
• Drive the integration of embedded data engineering into core product development cycles
• Engage with senior leadership to align AI/ML strategies with broader company initiatives and business outcomes
• Establish and nurture a community of AI/ML experts across CookUnity to share best practices, solve challenges, and promote innovation
• Spearhead internal forums, workshops, and seminars to accelerate the adoption of LLMs and GenAI, ensuring that team members are up to speed with new technologies and trends
• Foster a culture of continuous learning and ensure the team is equipped to leverage the latest advancements in AI/ML
• Define and implement key performance indicators (KPIs) to track the success of AI/ML and GenAI solutions
• Present regular updates to the executive team, including the CTO, on project progress, challenges, and opportunities related to AI/ML and GenAI adoption