Senior Platform ML Engineer [28652]

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Overview

The Senior Platform ML Engineer at Stealth will play a critical role in the development and deployment of machine learning pipelines and platforms that drive innovative solutions. This position involves collaborating with cross-functional teams to design scalable machine learning systems, ensuring their robustness and performance in production environments. The successful candidate will leverage their expertise to build advanced algorithms, optimize existing models, and guide engineering best practices, contributing significantly to our product development lifecycle.

Job Responsibilities

• Design and implement scalable machine learning pipelines and architectures to support various business applications.
• Collaborate with data scientists and software engineers to develop high-performance machine learning models.
• Optimize model performance through effective tuning, testing, and validation methodologies.
• Establish best practices for deploying machine learning models in a production environment.
• Conduct performance monitoring and troubleshooting of deployed models, ensuring accuracy and reliability.
• Research and integrate advanced algorithms and machine learning tools to enhance product features.
• Mentor junior engineers and contribute to team knowledge sharing through demonstrations and code reviews.
• Maintain documentation for system architecture, algorithms, and model performance metrics.

Qualifications

• Master’s degree in Computer Science, Engineering, Applied Mathematics, or a related field.
• Minimum of 5 years of professional experience in machine learning, software engineering, or data science.
• Proficient in programming languages such as Python, Java, or Scala.
• Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Strong understanding of algorithms, statistical methods, and data structures.
• Knowledge of cloud platforms, such as AWS, Azure, or Google Cloud for deploying ML solutions.
• Familiarity with containerization and orchestration tools like Docker and Kubernetes.
• Exceptional problem-solving skills and the ability to work collaboratively in a team environment.

Technologies & Tools

The Senior Platform ML Engineer will work primarily with Python and relevant machine learning frameworks such as TensorFlow and PyTorch. Familiarity with databases (SQL and NoSQL), cloud platforms (AWS, Google Cloud, or Azure), and container orchestration tools (Docker, Kubernetes) is essential for this role. Additionally, the use of version control systems (Git) and CI/CD pipelines will be an integral part of the development process.

Ideal Candidates

Ideal candidates for the Senior Platform ML Engineer position are innovative thinkers who are passionate about machine learning and its real-world applications. They possess a strong analytical mindset and excel in problem-solving, showing eagerness to explore new technologies and methodologies. Effective communicators, they are able to explain complex concepts simply and work collaboratively with diverse teams. An interest in mentoring others and contributing to a culture of continuous improvement further defines the right fit for this role at Stealth.