AI/ML Engineer

Aptos market-leading platform drives the worlds largest retailers in terms of their product pricing promotion and merchandising decisions worldwide. Over 33000 retail locations and $200B in annual revenue across grocery drug convenience general merchandise discount sporting goods stores fashion and eCommerce sites optimize with Aptos solutions.

Aptos acquired Revionics in September 2020. Revionics is the worldwide leader in retail pricing with 20 years of experience delivering AI/ML-driven retail pricing and promotions SaaS solutions for some of the largest and best-known retailers in the world affecting over $500B revenue under management across more than 50 retailers.

The AI team within the Product Org plays a central role at the company and is responsible for the GenAI (agents conversational analytics etc.) and Predictive AI solutions (modeling forecasting optimization etc) at Revionics. As an engineer on the Science team you will be part of a skilled and diverse team while working with a mix of data scientists and engineers. Youll not only have the opportunity to learn/use state-of-art AI/GenAI and ML techniques but also implement/roll-out modern engineering frameworks and solve problems that have not been solved before.

If youre someone who is ready to take on a challenge drive change and be part of an awesome team this is the right role for you!

About the Role:

The engineer will be responsible for designing building deploying and evolving the end-to-end AI/ML systems at Aptos (demand modeling and forecasting optimization GenAI agents etc.)

Who you are

• You have a Bachelors/Masters degree in computer science engineering or related STEM field or equivalent work experience
• Strong algorithmic problem-solving skills and an analytical mindset
• Hunger to learn new domains and complex code bases
• 4 years of development experienced with Python or another similar language
• Experience with GCP (Kubernetes Cloud functions Cloud Run etc.) or similar
• Experience in containerization and container orchestration (Docker Kubernetes etc.)
• Experience enabling CI/CD pipelines using tools such as Gitlab or similar
• Expertise in SQL and exposure to non-relational (MongoDB or similar)
• Exposure to ML frameworks such as Tensorflow Pytorch Scikit-Learn Spark would be a plus
• Able to communicate collaborate and work effectively in a distributed team.
• Can think about and write high quality code and can demonstrate that capability
• Enjoy tough technical challenges and are naturally intellectually curious
• Seek to drive change and influence others through clear and effective communication.

What youll do

• Collaborate with the cross functional teams to help design build and deliver the headless product offering
• Collaborate with the data scientists and other ML engineers to design build and deliver the first agentic Revionics experience
• Design build test and maintain end-to-end AI forecasting optimization and modeling services
• Dive deep into the underlying infra architecture to ensure we are building the right way
• Work with product engineers and data scientists to translate ideas into new products services and features
• Mentor junior engineers and continually improve our technical stack and processes

We also look for

• Passion
• Initiative and a Pioneering Spirit
• Quality orientation
• Resourcefulness and application

Are you the person were looking for

Big picture thinker with laser focus. You have a unique ability to see both the forest and the trees. Its what sets you apart from the rest. You start with a good understanding of the broader strategy zoom in to assess one particular aspect of that strategy and then zoom back out to see how changes to that particular area will affect the broader process.

Expert relationship cultivator. Product managers think youre a good partner -- because you are. Developers feel you respect their opinions -- because you do. Youre a true people person a natural collaborator and a highly sought-after resource.

Quality orientation. You have proven success at writing quality user stories and analysis deliverables through the application of established criteria like INVEST and SMART. Your work is thoughtful timely and valuable to the team.

Resourcefulness and application. At Aptos we have a pioneering spirit -- when we have questions we find answers; when were faced with challenges we find solutions. We turn to a variety of resources including our own colleagues our professional network the Internet articles and books -- whatever helps us get the job done. But its not just about using a variety of resources to gain knowledge -- its also about applying that knowledge to other areas of the job or business where it might make sense