Senior ML Platform Engineer [28417]

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Overview

As a Senior ML Platform Engineer at Stealth, you will play a critical role in the design, development, and optimization of machine learning systems and platforms. Your expertise will drive the creation of scalable machine learning models and innovative tools that enhance productivity and streamline workflows across various teams. This position demands a combination of advanced technical skills and strategic vision, enabling you to implement best practices in machine learning engineering while collaborating with cross-functional teams to ensure successful deployment and maintenance of our ML solutions.

Job Responsibilities

• Design, develop, and maintain robust ML platforms to support various data science initiatives.
• Collaborate with data scientists and software engineers to deploy machine learning models into production.
• Optimize model performance through rigorous testing, tuning, and monitoring processes.
• Implement CI/CD practices for machine learning workflows, ensuring seamless integration and delivery.
• Enhance platform capabilities by integrating state-of-the-art libraries and frameworks.
• Develop automated tooling for data ingestion, model training, and scaling operations.
• Provide technical mentorship and guidance to junior engineers and data scientists.
• Stay updated on the latest trends and advancements in machine learning and propose innovative solutions.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field; Master’s or PhD preferred.
• 5+ years of professional experience in machine learning engineering or a related field.
• Proficiency in programming languages such as Python, Java, or Scala.
• Strong experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• In-depth knowledge of cloud platforms (AWS, Azure, GCP), containerization, and orchestration technologies (Docker, Kubernetes).
• Solid understanding of data pipelines, ETL processes, and data management best practices.
• Excellent problem-solving skills and ability to work independently and in a team environment.
• Strong communication skills with the ability to translate complex technical concepts to non-technical stakeholders.

Technologies & Tools

The Senior ML Platform Engineer will utilize a range of advanced technologies and tools, including but not limited to, TensorFlow, PyTorch, Apache Spark, Kubernetes, Docker, and various cloud-based services (AWS, Azure, GCP). Familiarity with data management tools and services, version control systems (e.g., Git), and continuous integration/continuous deployment (CI/CD) processes will be essential for delivering high-quality machine learning solutions.

Ideal Candidates

Ideal candidates for this role will possess a blend of technical prowess and innovative thinking, allowing them to navigate complex machine learning challenges effectively. They should be proactive learners, eager to stay abreast of industry advancements and willing to experiment with new technologies to enhance platform capabilities. Furthermore, they must exhibit strong interpersonal skills, enabling efficient collaboration with diverse teams and the ability to convey technical concepts clearly to various stakeholders. A passion for problem-solving and a commitment to excellence in machine learning practices will characterize the successful applicant.