Machine Learning Eng IV

Brightstar is an innovative, forward-thinking global leader in lottery that builds on our renowned expertise in delivering secure technology and producing reliable, comprehensive solutions for our customers. As a premier pure play global lottery company, our best-in-class lottery operations, retail and digital solutions, and award-winning lottery games enable our customers to achieve their goals, fulfill player needs and distribute meaningful benefits to communities. Brightstar has a well-established local presence and is a trusted partner to governments and regulators around the world, creating value by adhering to the highest standards of service, integrity, and responsibility.  Brightstar has approximately 6,000 employees. For more information, please visit

Short Description

Join us as a ML Ops Engineer at Brightstar, where you'll spearhead the evolution of our AI and Machine learning solutions, driving innovation and excellence. You'll harness technology to revolutionise our digital offerings, to drive great customer experiences.

To be successful as a ML Ops Engineer, you should have :

Extensive Python programming experience (PySpark, Pandas, data manipulation libraries)

• Previous experience with Databricks platform
• Proficiency in CI / CD processes with tools like GitHub,
• Experience with container and orchestration technologies : Docker, Kubernetes, Helm
• Building / Testing / Deploying ML models using ML-Ops framework

Some other highly valued skills may include :

You may be assessed on the key critical skills relevant for success in role, such as monitoring, scalability, change management, security as well as business acumen strategic thinking.

Purpose of the role :

To design, develop and improve software and solutions, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues.

Accountabilities :

Other responsibilities you might need to support :

Desired qualifications :

#LI-JB1

#LI-Remote

Brightstar is committed to sustaining a workforce that reflects the diversity of the global customers and communities we serve, and to creating a fair and inclusive culture that enables all our employees to feel valued, respected and engaged. Brightstar is an equal opportunity employer. We provide equal opportunities without regard to race, color, religion, gender, sexual orientation, gender identity, gender expression, pregnancy, marital status, national origin, citizenship, covered veteran status, ancestry, age, physical or mental disability, medical condition, genetic information, or any other legally protected status in accordance with applicable local, state, federal laws or other laws. We thank all applicants for applying; however, only those selected to interview will be contacted.

All Brightstar employees have a role in information security. Annual training will be assigned and required as appropriate.

For more information, please visit