Senior ML Platform Engineer [28417]

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Job Overview

The Senior ML Platform Engineer at Stealth will play a pivotal role in designing, enhancing, and maintaining scalable Machine Learning (ML) platforms that facilitate the deployment and management of ML models across various environments. This position requires a blend of software engineering and data science expertise, enabling the successful candidate to collaborate with cross-functional teams to optimize platform performance and deliver high-quality solutions. The ideal candidate will be capable of tackling complex challenges and driving innovation in ML infrastructure and deployment processes.

Job Responsibilities

• Design and implement robust ML platform architectures that support the lifecycle of machine learning models.
• Collaborate with data scientists and software engineers to streamline the deployment of ML models into production.
• Develop tools and frameworks to automate the monitoring and management of deployed ML solutions.
• Identify and resolve performance bottlenecks in existing ML applications and workflows.
• Conduct code reviews and maintain high standards of software quality within the team.
• Document system architecture, procedures, and best practices for future reference and team onboarding.
• Stay updated with the latest advancements in ML technologies and platform engineering best practices.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 5+ years of professional experience in software engineering with a focus on machine learning and data processing.
• Strong programming skills in languages such as Python, Java, or Scala.
• Deep understanding of ML algorithms and frameworks, such as TensorFlow, PyTorch, or Scikit-learn.
• Experience with cloud computing platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes).
• Familiarity with CI/CD processes and MLOps practices.
• Excellent problem-solving abilities and analytical thinking skills.

Technologies & Tools

The Senior ML Platform Engineer will engage with a diverse array of technologies and tools to enhance machine learning infrastructure. These include popular programming languages such as Python and Java, ML frameworks like TensorFlow and PyTorch, cloud services from AWS, Google Cloud Platform, or Azure, and container orchestration systems like Docker and Kubernetes. Familiarity with CI/CD tools to facilitate seamless deployment will also be vital in this role.

Ideal Candidates

The ideal candidate for the Senior ML Platform Engineer position will possess a unique combination of technical expertise and a collaborative mindset. They will be resourceful, innovative, and adaptable, thriving in a fast-paced environment. Strong communication skills are essential for effectively collaborating with cross-functional teams, sharing knowledge, and mentoring junior engineers. A genuine passion for machine learning technologies and a commitment to continuous learning will set them apart as a valuable asset to the Stealth team.