Senior ML Platform Engineer [28417]

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Overview

The Senior ML Platform Engineer at Stealth will play a pivotal role in designing, developing, and optimizing our machine learning infrastructure. This position requires an experienced engineer who is proficient in building scalable ML systems, enhancing model deployment and performance, and collaborating with data scientists and product teams to identify and implement best practices across various projects. The ideal candidate will foster innovation and drive improvements in our ML architecture to support diverse applications effectively.

Job Responsibilities

• Design, implement, and maintain scalable ML infrastructure to support continuous delivery and integration pipelines.
• Collaborate with data scientists and software engineers to streamline model development, deployment, and monitoring processes.
• Optimize model performance by analyzing runtime metrics and implementing necessary adjustments.
• Develop and enforce best practices for versioning, testing, and documentation of ML models and pipelines.
• Oversee the deployment of machine learning algorithms into production environments, ensuring reliability and responsiveness.
• Research and integrate new tools and technologies to enhance the capabilities of our ML platform.
• Provide mentorship and guidance to junior engineers on machine learning and platform architecture.

Qualifications

• Master’s degree in Computer Science, Engineering, or a related field; Ph.D. is a plus.
• 5+ years of experience in software engineering with a strong focus on machine learning and data science practices.
• Proficiency in programming languages such as Python, Java, or Scala, and familiarity with ML frameworks (e.g., TensorFlow, PyTorch).
• Hands-on experience with cloud platforms (AWS, Azure, Google Cloud) and containerization technologies (Docker, Kubernetes).
• Deep understanding of machine learning algorithms, model deployment, and performance optimization techniques.
• Strong problem-solving skills and the ability to work collaboratively in a fast-paced environment.

Technologies & Tools

This role will utilize various technologies and tools including but not limited to Python, TensorFlow, PyTorch, AWS, Docker, and Kubernetes. Familiarity with ML Ops platforms and CI/CD tools will be essential in ensuring smooth deployment processes and maintaining high standards of data integrity and security throughout the model lifecycle.

Ideal Candidates

The ideal candidates for the Senior ML Platform Engineer position will possess a strong blend of technical expertise and collaborative spirit. They will have a passion for exploring innovative solutions, a thirst for continuous learning, and the capability to adapt to rapidly changing technologies. Candidates should demonstrate strong analytical skills, excellent communication abilities, and a commitment to fostering an inclusive and productive teamwork environment.