Machine Learning Engineer III

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 www.brightstarlottery.

com . Overall Step into the role of Machine Learning Engineer IV at Brightstar in Hyderabad, Telangana, India. Guide the progress of our AI and machine learning solutions, championing innovation and excellence. To excel as a Machine Learning Engineer IV, you need: Extensive Python programming experience (Py. Spark, 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, and deploying ML models using ML-Ops framework Some other highly valued Skills may include: Strong knowledge of Azure cloud ecosystem Strong understanding and expertise in data engineering involving ETL pipelines and real-time data processing Proficiency in data modeling (star/snowflake schemas, dimensional modeling) Familiarity with data visualization tools such as PowerBI You may be evaluated on important skills for success in the role, including monitoring, scalability, change management, security, as well as business insight and discernment.

Purpose of the Role: To build, develop, and improve software and solutions using various engineering methodologies, delivering outstanding business, platform, and technology capabilities for our customers and colleagues. Accountabilities: Development and delivery of high-quality software solutions using industry-aligned programming languages, frameworks, and tools.

Ensuring that code is scalable, maintainable, and optimized for performance. Cross-functional collaboration with product managers, marketing, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives. Partnering with team members, joining in code assessments, and advocating for a culture of coding excellence and sharing information.

Keeping up-to-date with industry technology trends and advancements, participating in the organization’s technology networks to cultivate a culture of technical excellence and advancement. Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions. Implementation of effective unit testing practices to ensure accurate code composition, readability, and reliability.

Other Responsibilities You may need to Support: Engage in complex analysis of data from multiple sources of information, both internal and external, to solve problems creatively and effectively. Identify ways to mitigate risk and develop new policies/procedures in support of the control and governance agenda. Collaborate with other business-aligned support areas to keep up to speed with business activity and strategy.

Communicate complex information, which could include sensitive or difficult-to-communicate content, effectively to various audiences. Influence or convince collaborators to achieve desired outcomes. Desired Qualifications: Bachelor’s or Master’s degree in Computer Science or Software Engineering, or equivalent experience.

Experience in using AWS, MS Azure, or GCP services. Good to have any associate Cloud Certification. Success Profile Leading Complexity Leading People Leading the Business Leading Self #LI-JB1 #LI-Hybrid 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 www.brightstarlottery.com .