Senior ML Platform Engineer

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Job Summary

As a Senior ML Platform Engineer at SumerSports, you will play a pivotal role in designing, building, and maintaining the infrastructure that supports our machine learning initiatives. You will collaborate with cross-functional teams to streamline the model lifecycle and enhance end-to-end workflows, ensuring the deployment of robust machine learning solutions that meet business requirements. Your expertise will influence the development of scalable ML systems, enabling real-time data processing and insightful analytics across various applications within operations.

Job Responsibilities

• Design and implement scalable machine learning platforms to support diverse projects.
• Collaborate with data scientists and software engineers to integrate machine learning models into production environments.
• Optimize performance and scalability of existing ML frameworks and pipelines.
• Establish best practices for model training, deployment, monitoring, and maintenance.
• Manage data acquisition processes and ensure data quality and integrity.
• Develop and execute testing protocols to validate model performance and reliability.
• Document infrastructure architecture and workflows to foster knowledge sharing.
• Mentor junior engineers and provide guidance in machine learning practices and tools.

Qualifications

• Master’s or Ph.D. degree in Computer Science, Data Science, or a related field.
• 5+ years of experience in machine learning engineering, with a focus on platform development.
• Strong programming skills in Python and proficiency in ML libraries such as TensorFlow or PyTorch.
• Experience with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).
• Solid understanding of data engineering principles and tools, including SQL, NoSQL databases, and ETL pipelines.
• Familiarity with MLOps methodologies and tools (e.g., MLflow, Kubeflow).
• Excellent problem-solving skills and the ability to work in a fast-paced environment.
• Strong communication and collaboration skills, with experience working in cross-functional teams.

Technologies & Tools

The Senior ML Platform Engineer will work with a variety of technologies and tools, including but not limited to Python, TensorFlow, PyTorch, Apache Kafka, AWS (S3, Lambda, SageMaker), Docker, Kubernetes, and Git. Familiarity with CI/CD pipelines and MLOps tools will also be essential to ensure seamless integration and deployment of machine learning models.

Ideal Candidates

The ideal candidate for the Senior ML Platform Engineer position will exhibit a strong analytical mindset, a passion for emerging technologies, and an unwavering commitment to excellence. They should demonstrate a proactive approach to problem-solving and an eagerness to collaborate with team members across different disciplines. A proven track record of successful project execution, coupled with the ability to adapt in a dynamic environment, will be essential traits for success in this role at SumerSports.