Head of AI/ML

Head of AI/ML

Requirements

• 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.

Responsibilities

• 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.

Preferred Qualifications

• Experience with embedded data engineering, working closely with product development teams.
• Familiarity with data privacy and security regulations (e.g., GDPR, CCPA).
• Background in food-tech, consumer goods, or related industries.