Senior Platform ML Engineer [28417]

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Job Overview

The Senior Platform ML Engineer at Stealth is a pivotal role that involves designing and implementing advanced machine learning algorithms and infrastructure to enhance platform capabilities. The successful candidate will leverage their expertise in machine learning and software engineering to build scalable solutions, collaborate with cross-functional teams, and lead projects that drive the innovation and efficiency of our systems. This position demands a deep understanding of ML technologies and a proactive approach towards problem-solving in a fast-paced environment.

Job Responsibilities

• Design, develop, and optimize machine learning models for various applications within the platform.
• Build and maintain scalable infrastructure for ML workflows, including data pipelines and model deployment.
• Collaborate with data scientists and software engineers to integrate machine learning solutions into existing systems.
• Conduct experiments to evaluate model performance, ensuring high accuracy and reliability.
• Mentor junior engineers and data scientists on best practices in machine learning and software development.
• Stay updated with the latest ML research and technologies to enhance platform functionality.

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
• Minimum of 5 years of experience in machine learning engineering or relevant software engineering roles.
• Proficiency in programming languages such as Python, Java, or Scala.
• Strong understanding of machine learning algorithms, frameworks, and libraries such as TensorFlow, PyTorch, or Scikit-learn.
• Experience with cloud platforms (e.g., AWS, GCP, Azure) for deploying ML solutions.
• Knowledge of containerization tools like Docker and orchestration frameworks such as Kubernetes.

Technologies & Tools

The Senior Platform ML Engineer role requires proficiency in various technologies and tools including machine learning frameworks like TensorFlow and PyTorch, programming languages such as Python and Java, and data processing tools like Apache Spark. Candidates should also be familiar with cloud services (AWS, GCP, Azure) for deploying models, containerization with Docker, and orchestration tools like Kubernetes to streamline workflows.

Ideal Candidates

The ideal candidate for the Senior Platform ML Engineer position will possess a strong analytical mindset, exhibit exceptional problem-solving skills, and demonstrate a passion for innovation in machine learning technologies. They should be able to work collaboratively within cross-functional teams and communicate complex technical concepts to both technical and non-technical stakeholders. A proactive attitude towards seeking knowledge and staying updated with industry advancements is essential for success in this role.