Senior Engineer - Machine Learning Platform

About the Role

It’s an exciting time to join us as a Senior Engineer in our Machine Learning Platform team! This remote position offers the chance to drive the development of a brand-new ML Platform for the entire Engineering organization at Super Technologies. You will enable the adoption of ML and AI across all teams, directly impacting platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily.

What You'll Do

• Design and build scalable backend services and APIs to support ML experimentation, deployment, and monitoring.
• Re-architect and rebuild existing data pipelines to handle real-time data processing and support production ML models.
• Develop tools that simplify the design, testing, and deployment of ML pipelines for engineers.
• Ensure platform services are robust, secure, and meet high standards for performance and reliability.
• Collaborate with ML engineers, data scientists, and product teams to understand their needs and translate them into platform capabilities.
• Drive the adoption of ML best practices and promote the reusability of tools across teams.
• Contribute to the overall architecture and vision of the ML platform, ensuring it can scale with the company’s growth.
• Mentor junior engineers and foster a culture of knowledge sharing and continuous improvement.

Requirements

• 7+ years of professional experience as a Backend Engineer, Software Engineer, or similar role.
• Strong programming skills in Python.
• Proven experience designing and building distributed systems and APIs at scale.
• Hands-on experience with real-time data processing frameworks (e.g., Kafka, Flink, Spark Streaming, Pulsar).
• Experience working with cloud platforms (AWS, GCP, or Azure) and containerization/orchestration (Docker, Kubernetes).
• Strong understanding of data modeling, storage systems, and streaming/processing architectures.
• Familiarity with ML tooling such as MLflow, ZenML, or Metaflow.
• Excellent collaboration and communication skills, with the ability to work cross-functionally.

Nice to Have

• Experience building or working on ML platforms or MLOps frameworks.

What We Offer

• Competitive salary and benefits package.
• Remote work flexibility.
• Opportunities for professional growth and development.
• A dynamic and inclusive work environment.
• Access to cutting-edge technologies and tools.