Senior ML Platform Engineer [28417]

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Written by AI from the job title and company, not by Stealth, so some details may not match this job. The employer's own page has the real description.

Job Overview

The Senior ML Platform Engineer at Stealth will play a pivotal role in developing and maintaining robust machine learning platforms and infrastructure. This position requires a deeply technical individual who will oversee the end-to-end lifecycle of machine learning models, ensuring that they are scalable, efficient, and integrated seamlessly into the company's broader technology ecosystem. The individual will collaborate with cross-functional teams to support the deployment and optimization of machine learning solutions, driving innovation and operational excellence within the organization.

Job Responsibilities

• Design, implement, and maintain scalable machine learning infrastructure to support data processing and model training.
• Collaborate with data scientists and engineers to optimize machine learning models for deployment.
• Monitor and troubleshoot production machine learning systems to ensure performance and reliability.
• Develop and enforce best practices for model versioning, deployment, and operations.
• Ensure data quality and integrity through robust data validation processes.
• Participate in code reviews and contribute to the technical development of the team.
• Stay updated with emerging technologies and practices in machine learning and DevOps.

Qualifications

• Bachelor’s degree in Computer Science, Data Science, or a related field; Master's degree preferred.
• 5+ years of experience in machine learning engineering, data engineering, or a related role.
• Strong programming skills in Python, Java, or Scala.
• Proficiency with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Experience with cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies like Docker and Kubernetes.
• Solid understanding of data structures, algorithms, and software design principles.
• Experience with version control systems, preferably Git.

Technologies & Tools

This position will utilize a diverse range of technologies and tools, including machine learning frameworks such as TensorFlow and PyTorch, data processing frameworks like Apache Spark, version control systems such as Git, cloud services (AWS, GCP, or Azure) for scalable model deployment, and containerization tools such as Docker and Kubernetes for efficient environment management and orchestration.

Ideal Candidates

The ideal candidate for the Senior ML Platform Engineer role at Stealth should possess a strong analytical mindset, exceptional problem-solving capabilities, and a deep passion for leveraging machine learning to drive business value. They should be highly collaborative, able to communicate complex technical concepts clearly, and demonstrate a proactive approach in adapting to new challenges. Furthermore, a commitment to quality and excellence, along with a continuous learning attitude, will be qualities that distinguish the right fit for this dynamic and innovative team.