Lead AI/ML Engineer

Lead AI/ML Engineer (P4318)

Summary

The SCORe team seeks a Lead AI/ML Engineer to support Kroger Manufacturing with generative AI and data science solutions, including creating, managing, and monitoring agents, optimization, simulation, and machine learning. The ideal candidate will have a strong technical background in Generative AI, embeddings, NLP or statistical learning. Experience deploying in enterprise level manufacturing environments, especially food, and familiarity with 84.51°/manufacturing data assets is ideal.

Responsibilities

• Develop generative AI solutions to support manufacturing cost savings initiatives
• Integrate with and consult governance of contractor and third party owned sciences
• Integrate and deploy data science models to production grade front-end systems
• Apply MLOps best practices and patterns related to generative AI agentic workflows
• Develop and deliver analytical plans for client roadmaps, adopting best practices and innovative ideas.
• Transition projects from discovery to pre-production using the latest tech stack.
• Knowledge of Azure/Databricks platforms
• Experiment with innovative machine learning methods and conduct analytic experiments; share findings with the team.
• Scope and manage projects from start to finish, ensuring timely delivery within budget and specifications.
• Collaborate with stakeholders to design best-in-class solutions.
• Implement best practices for analysis, storage, and quality assurance with engineering, product, and labs teams.
• Identify opportunities for standardization and automation of solutions/processes.
• Develop actionable recommendations from data analysis to build relevant customer stories.
• Ensure high-quality work through quality assurance of your code and that of team members.
• Maintain documentation.
• Challenge and improve 84.51° analytic capabilities and best practices.
• Efficiently manage analytic resources to ensure timely delivery of business deliverables.
• Mentor data scientists to create standard processes and efficiencies; provide career development leadership for junior data scientists.
• Partner with G4 people leaders to prioritize work, identify risks and opportunities, and streamline team execution.
• Support building out the data science team to expand efforts
• Good knowledge of dataset development and maintenance.

Qualifications, Skills, and Experience

• Bachelor's degree in mathematics, statistics, analytics, data science, or a related discipline.
• 4+ years of experience in consulting or professional services, with at least 2 years focused on manufacturing.
• 4+ years of experience using advanced algorithms, programming languages, or technologies to develop technical analytics solutions.
• 4+ years of experience developing and implementing enterprise-scale generative AI solutions involving agentic workflows, NLP or embedding models
• Experience with graph databases and algorithms is a plus
• Proficiency in cleaning and querying data from relational databases and PySpark
• Experience using Python, or similar statistical software to develop analytical solutions.
• Expertise in data wrangling, data cleaning and preparation, and dimensionality reduction.
• Familiarity with Big Data concepts, tools, and architecture.
• Ability to create computationally efficient solutions.
• Strong academic background in mathematics, statistics, computer science, economics, or a similar discipline.
• Data visualization skills and the ability to present technical solutions to a non-technical audience.
• Strong analytical, creative problem-solving, and decision-making skills.
• Strong business acumen; manufacturing experience is a plus.
• Experience developing and implementing on cloud solutions (Azure, Databricks, etc.)
• Passionate about data, analysis, and insights.
• Natural curiosity that embraces change and a willingness to try new things and learn from failure.
• Ability to work in a highly collaborative environment

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