Senior ML Platform Engineer [28496]

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Job Overview

The Senior ML Platform Engineer at Stealth will play a critical role in designing, developing, and maintaining the machine learning infrastructure and platforms that empower our data scientists and developers to build advanced predictive models and algorithms. This position requires a high level of expertise in machine learning frameworks, programming languages, and cloud technologies. The successful candidate will collaborate closely with cross-functional teams to enhance the scalability and reliability of our ML systems, integrating cutting-edge technologies to support business objectives and innovations.

Job Responsibilities

• Design and implement robust machine learning platforms to facilitate the deployment and management of ML models.
• Collaborate with data scientists and software engineers to optimize workflows and improve the efficiency of ML processes.
• Evaluate and integrate new machine learning technologies and tools to enhance our existing infrastructure.
• Monitor and troubleshoot performance issues, ensuring continuous improvement in system reliability.
• Develop automated pipelines for data ingestion, model training, and deployment.
• Document system architecture, processes, and workflows to ensure knowledge sharing among teams.
• Provide technical guidance and mentoring to junior engineers and team members.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 5+ years of experience in software engineering, with a focus on machine learning systems and platforms.
• Proficiency in programming languages such as Python, Java, or Scala.
• In-depth knowledge of machine learning frameworks, such as TensorFlow, PyTorch, or Scikit-learn.
• Experience with cloud computing platforms like AWS, Google Cloud, or Azure.
• Strong understanding of container orchestration technologies, such as Kubernetes and Docker.
• Excellent problem-solving skills and the ability to work in a high-paced environment.

Technologies & Tools

The Senior ML Platform Engineer will work with a diverse range of technologies and tools including, but not limited to, TensorFlow, PyTorch, Kubernetes, Docker, Apache Spark, Kafka, and cloud services such as AWS and GCP. Familiarity with version control systems, especially Git, and deployment automation tools is also essential for facilitating robust machine learning operations.

Ideal Candidates

Ideal candidates for the Senior ML Platform Engineer position will possess strong analytical and technical skills with a passion for innovation in machine learning. They should thrive in a collaborative setting, demonstrating excellent communication skills to engage with various stakeholders. A proactive approach to problem-solving, coupled with a commitment to continuous learning and adaptation to new technologies, will position candidates for success in this role. Leadership qualities, such as mentoring capabilities and a readiness to share knowledge, are highly valued.