Senior ML Platform Engineer [28417]

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Job Overview

As a Senior ML Platform Engineer at Stealth, you will play a vital role in the design, development, and deployment of machine learning platforms that support our innovative data-driven solutions. You will collaborate with cross-functional teams to enhance the scalability and efficiency of our ML infrastructure while providing technical guidance to junior engineers. Your expertise will facilitate the integration of advanced machine learning models into production environments, ultimately driving the performance and capability of our analytical services.

Job Responsibilities

• Design, develop, and maintain scalable and resilient ML infrastructure components.
• Implement and optimize ML workflows and pipelines to support data processing and model deployment.
• Collaborate with data scientists and software engineers to integrate machine learning models into production systems.
• Monitor system performance and troubleshoot issues, ensuring high availability of ML services.
• Conduct performance tuning and optimization of ML algorithms and data processing tasks.
• Mentor junior engineers and contribute to knowledge-sharing across the team.
• Research and implement new tools, technologies, and methodologies to improve ML workflows.
• Ensure compliance with data security and governance policies throughout all phases of development.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 5+ years of professional experience in software engineering, specifically in ML platform engineering.
• Proficiency in programming languages such as Python, Java, or Scala.
• Strong understanding of machine learning algorithms and frameworks.
• Experience with ML workflow orchestration tools (e.g., Apache Airflow, Kubeflow).
• Familiarity with cloud platforms (AWS, Azure, GCP) and their respective ML services.
• Excellent problem-solving skills and ability to work collaboratively in a team environment.

Technologies & Tools

The Senior ML Platform Engineer at Stealth will work with a diverse set of technologies and tools, including but not limited to TensorFlow, PyTorch, Scikit-learn, Docker, Kubernetes, Apache Spark, and various cloud-based services like AWS SageMaker, Google AI Platform, and Azure Machine Learning. Proficiency in data storage solutions such as SQL databases and NoSQL platforms will also be essential, as well as experience with CI/CD pipelines and DevOps practices.

Ideal Candidates

Ideal candidates for this position are proactive problem solvers with a strong analytical mindset and a passion for technology and innovation. They possess excellent communication skills, enabling effective collaboration with colleagues from various backgrounds. A keen interest in staying updated with the latest trends in machine learning and platforms, coupled with a commitment to delivering high-quality solutions is essential. Candidates should thrive in fast-paced environments and demonstrate an eagerness to take on challenges that enhance their skill set and contribute to team objectives.