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 (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, 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.