ML Engineer
Description For ML Engineer
Mindera is seeking a ML Engineer to join their team in developing sophisticated machine learning solutions. The role focuses on building and maintaining large-scale distributed ML systems, working closely with the ML Architect. The position requires expertise in popular ML frameworks and MLOps practices, with a preference for candidates having gaming industry experience. The company offers a collaborative, politics-free environment where teams own projects together, emphasizing freedom with responsibility. Mindera is a global technology company with offices across multiple countries, specializing in building high-performance software solutions. They provide an environment that encourages risk-taking, decision-making, and open communication, along with attractive benefits including flexible working hours, annual company trips, and comprehensive training opportunities. The role presents an excellent opportunity for ML engineers looking to work on impactful projects in a culture that values continuous learning and technical excellence.
Responsibilities For ML Engineer
- Develop large-scale distributed machine learning systems that are scalable, performant, efficient, and reliable
- Collaborate with cross-functional teams to help deploy/integrate machine learning models
- Liaise with the BUs for their ML needs and work on the cross-BU ML portfolio
- Optimize feature extraction, transformation and selection
- Work with and manage Feature Stores for reusability across ML pipelines
- Ensure scalability, reliability, cost efficiency, and ease of use of the machine learning platform
- Contribute to evaluating and adopting new technologies and tools to enhance machine-learning capabilities
Requirements For ML Engineer
- 3-5 years of experience as an ML Engineer preferably with a Gaming industry background
- Experienced with ML frameworks (TensorFlow, Scikit-Learn, Pytorch)
- Experienced with Model training, versioning and monitoring
- Strong background in MLOps practices, including CI/CD, containerization (Docker), orchestration frameworks (Kubernetes, Airflow), model serving tools (AWS SageMaker, Databricks MLFlow), model observability frameworks, automation and feature stores
Benefits For ML Engineer
- Flexible working hours
- Mindera Annual Trip
- Sports and sharing groups to connect and have fun
- Training & conferences, create your own training plan
- Choose Laptop & Peripherals that best suit your needs
Jobs Related To Mindera ML Engineer
