Lead AI/ML Engineer (P4363)

84.51°; Chicago, Cincinnati (IL, OH); Hybrid; USD 91,000 - 219,000; Full time

Job summary

A leading company in retail data science seeks a Lead AI/ML Engineer to focus on innovative machine learning solutions to enhance the Kroger manufacturing business. The ideal candidate will possess advanced software engineering skills, extensive experience in AI, and a strong mathematical understanding to drive efficiency and deliver cutting-edge solutions.

Benefits

401(k) with matching contribution

Paid time off including 5 weeks vacation

Hybrid work environment

Health, dental, and vision benefits

Qualifications

• 4+ years of experience developing cloud-based software solutions.
• Hands-on experience in SDLC and CI/CD.
• Knowledge of deep learning methods is highly preferred.

Responsibilities

• Lead technical ML engineering projects to support Kroger's manufacturing business.
• Develop, deploy, and maintain machine learning solutions.
• Research and implement state-of-the-art AI and ML algorithms.

Skills

Machine Learning

Software Development

DevOps

Data Pipelines

Algorithms

Python

Education

Bachelor’s degree in Machine Learning, Computer Science or related field

Tools

PyTorch

TensorFlow

Azure

Spark

Databricks

Job description

84.51° is a retail data science, insights and media company. We help The Kroger Co., consumer packaged goods companies, agencies, publishers and affiliates create more personalized and valuable experiences for shoppers across the path to purchase.

Powered by cutting-edge science, we utilize first-party retail data from more than 62 million U.S. households sourced through the Kroger Plus loyalty card program to fuel a more customer-centric journey using 84.51° Insights, 84.51° Loyalty Marketing and our retail media advertising solution, Kroger Precision Marketing.

Join us at 84.51°!

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Lead AI/ML Engineer (Manufacturing)

Cincinnati / Chicago

SUMMARY

The Lead AI/ML Engineer requires a unique mix of software engineering and machine learning skills necessary to create, deploy and maintain computationally efficient ML implementations, frameworks, tools and end-to-end solutions. This role has a specific focus on emerging artificial intelligence implementations to support the Kroger manufacturing business. A strong understanding of math, algorithms, ML and data pipelines along with DevOps & MLOps best practices that will scale across many users and/or large, complex, and diverse data sets is critical to success.

RESPONSIBILITIES

• Technical ML Engineer lead on larger projects that can span months
• Foster a collaborative and innovative team environment, encouraging professional growth and development among junior team members.
• Leverage known patterns, frameworks, and tools for automating & deploying machine learning solutions
• Develop new tools, processes and operational capabilities to monitor and analyze model performance and data accuracy where needed
• Work with researchers to optimize and scale Machine Learning Solutions using best practices in DevOps & MLOps
• Abstract ML solutions as packages, APIs, or components that could be reused across the business
• Build, steward, and maintain production-grade solutions (robust, reliable, maintainable, observable, scalable, performant etc.) to manage and serve machine learning models and science solutions
• Research state of the art artificial intelligence and machine learning algorithms, patterns, processes, and tooling to identify new opportunities for implementation across the enterprise. Serve as early adopter of new machine learning tools, platforms, and processes.
• Understand business requirements and trade-off scale, risk, and accuracy to maximize value and translate research into consumable products or services
• Reduce time to delivery, automate ML pipelines, and implement continuous feedback & monitoring practices
• Responsible for code reviews and QA sign off
• Apply appropriate documentation, version control, and other internal communication practices across channels.
• Make time-sensitive decisions and solve urgent problems without escalation.

QUALIFICATIONS, SKILLS, AND EXPERIENCE

• Bachelor’s degree or higher in Machine Learning, Computer Science, Computer Engineering, Applied Statistics, or related field.
• 4+ years of experience developing cloud-based software solutions and an understanding of design for scalability, performance, and reliability.
• 4+ years of experience using advanced algorithms, programming languages, or technologies
• 2+ years of experience in emerging AI preferred
• 2+ years of experience in tech consulting, retail or related professional services preferred
• Hands-on experience in the full end to end SDLC developing software solutions that scale and leverage CI/CD and MLOps to develop, test, and deploy.
• Experience building large-scale algorithmic solutions that have been successfully delivered to stakeholders.
• Excellent communication skills, particularly on technical topics.
• Strong time and project management skills; the ability to balance multiple, simultaneous work items and prioritize as necessary.
• Knowledge of deep learning methods is highly preferred.
• Working experience in one or more ML frameworks such as PyTorch, TensorFlow, MLLib, and MLFlow
• Knowledge of E2E Machine Learning pipeline and MLOps tools (e.g. Model registry, Experiment tracking, feature store, model monitoring)
• Hands-on experience with technologies such as Azure, Spark, Nvidia Triton and Databricks
• Strong skills in Python
• CI/CD Pipeline experience; Github Actions a plus
• Terraform experience
• Graph database experience is a plus

#LI-SSS

Pay Transparency and Benefits

• The stated salary range represents the entire span applicable across all geographic markets from lowest to highest. Actual salary offers will be determined by multiple factors including but not limited to geographic location, relevant experience, knowledge, skills, other job-related qualifications, and alignment with market data and cost of labor. In addition to salary, this position is also eligible for variable compensation.
• Below is a list of some of the benefits we offer our associates:
• Health: Medical: with competitive plan designs and support for self-care, wellness and mental health. Dental: with in-network and out-of-network benefit. Vision: with in-network and out-of-network benefit.
• Wealth: 401(k) with Roth option and matching contribution. Health Savings Account with matching contribution (requires participation in qualifying medical plan). AD&D and supplemental insurance options to help ensure additional protection for you.
• Happiness: Hybrid work environment. Paid time off with flexibility to meet your life needs, including 5 weeks of vacation time, 7 health and wellness days, 3 floating holidays, as well as 6 company-paid holidays per year. Paid leave for maternity, paternity and family care instances.

Pay Range

$91,000 - $218,750 USD

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84.51° Demographic Questions

Together, we are stronger and can achieve more

At 84.51°, we believe a diverse and inclusive work environment is essential to the work we do as a data science company. Just as no two Kroger customers are alike, no two 84.51° associates are alike. We understand the importance of fostering an inclusive culture: to encourage our associates to bring their authentic selves to work – embracing who they are and celebrating what they can become.

We continually strive to ensure 84.51° is a place where all people feel like they belong, are respected and valued regardless of who they are, where they are from and what experiences they’ve had. By meeting our 3-year D&I roadmap goals and commitments, we will continue our journey towards becoming a destination for diverse, driven, and authentic minds.

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