Senior ML Platform Engineer [28417]

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Overview

The Senior ML Platform Engineer at Stealth will play a pivotal role in designing, developing, and optimizing the machine learning platform that serves as the backbone for our innovative projects. This role requires a highly skilled engineer to collaborate with cross-functional teams, integrate new machine learning models, and ensure the platform is scalable, secure, and efficient. The ideal candidate will leverage their expertise to enhance our data-driven solutions and contribute to our mission of leading in advanced technology initiatives.

Job Responsibilities

• Design, implement, and maintain scalable and reliable machine learning platforms and pipelines.
• Collaborate with data scientists to deploy and optimize machine learning models for production environments.
• Develop framework for continuous integration and continuous delivery (CI/CD) of ML models.
• Monitor system performance and make recommendations for improvements, considering system scalability and efficiency.
• Implement security best practices to protect data privacy and maintain compliance.
• Provide expertise in choosing appropriate tools, frameworks, and techniques for specific problems.
• Document platform features, performance metrics, and usage best practices for teams.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field; Master’s degree preferred.
• 5+ years of experience in software engineering with a focus on machine learning systems.
• Proficient in programming languages such as Python, Java, or Scala.
• Solid understanding of machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch).
• Experience with cloud platforms, preferably AWS, Azure, or Google Cloud.
• Strong knowledge of containerization technologies such as Docker and orchestration tools like Kubernetes.
• Excellent problem-solving abilities and a proactive approach to challenging tasks.

Technologies & Tools

In this position, you will work with a variety of technologies and tools including cloud computing services (AWS, Azure), container orchestration with Kubernetes, machine learning libraries (TensorFlow, Keras, PyTorch), and programming languages such as Python and Java. Additionally, familiarity with DevOps tools for CI/CD pipelines and monitoring solutions is essential to ensure the optimal performance of the ML platform.

Ideal Candidates

The ideal candidate for the Senior ML Platform Engineer position will possess a strong technical background combined with exceptional analytical and communication skills. They should be adaptable, continuously seeking opportunities to learn and innovate while effectively collaborating with various teams. A passion for leveraging machine learning to solve complex problems and a commitment to delivering high-quality systems in a fast-paced environment will also set the best candidates apart.