Technical leader architecting and deploying advanced Gen AI and ML solutions for Walmart Connect. Driving innovation in ad targeting, personalization, and campaign analytics.
About the role
- MLOps Engineer scaling AI/ML solutions across game studios at Stillfront. Collaborating with teams to operationalize machine learning solutions for a diverse gaming portfolio.
Responsibilities
- Design, build, and maintain ML pipelines covering training, validation, deployment, monitoring, and retraining.
- Operationalize ML models developed in collaboration with ML, data and backend engineers, and ensure their reliability in production.
- Support experimentation by making ML systems easier to deploy, monitor, and iterate on.
- Build up the developer experience for ML engineers (environment setup, dependency management, automation, CI/CD).
- Focused on reusability, standardization and scalable development workflows.
- Apply strong software engineering practices within ML codebases (modularity, testing, version control, code reviews).
- Contribute to modeling tasks when needed, including data preparation, feature engineering, experiment execution, and evaluation.
- Collaborate closely with data engineers and backend engineers to ensure clean data flows and robust integrations.
Requirements
- Degree in Computer Science, Software Engineering, Data Engineering, or related technical disciplines.
- 5 years of professional experience in software engineering, ML engineering, or data-intensive engineering roles.
- Hands-on experience building, shipping and maintaining production ML systems, pipelines, or data workflows.
- Strong programming skills, especially in Python and SQL, with a clear software engineering mindset.
- Experience with cloud-based environments and production infrastructure.
- Experience working with large-scale datasets and distributed processing frameworks (e.g. Spark or similar).
- Practical experience of the ML lifecycle and ability to collaborate effectively on modeling tasks.
- Experience contributing to collaborative codebases using Git and following structured development practices (pull requests, reviews, branching workflows).
Benefits
- Competitive salary and comprehensive benefits package.
- Autonomy to explore and implement new technologies, tools, and partners.
- Work in a dynamic environment with high exposure to a wide variety of genres, tools, and diversified products.
- Flexible working hours and a supportive, collaborative work environment.
- Opportunity to work with a talented team of professionals and make a significant impact on a globally recognized product.
Job title
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