Senior ML Platform Engineer [28496]

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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.

Overview

The Senior ML Platform Engineer at Stealth will play a pivotal role in designing, building, and maintaining machine learning platforms that empower researchers and practitioners to deliver impactful models effectively. This position requires a deep understanding of machine learning algorithm development and robust infrastructure design to streamline the model lifecycle. You will collaborate with cross-functional teams to ensure that our platform meets the needs of both data scientists and engineers, resulting in scalable and efficient machine learning solutions.

Job Responsibilities

• Develop and maintain scalable machine learning pipelines and frameworks for model training, evaluation, and deployment.
• Work closely with data science teams to integrate machine learning models into production systems.
• Design and implement tools to monitor model performance and contribute to iterative improvements.
• Enhance the current ML platform architecture, ensuring robustness and scalability.
• Collaborate with IT and DevOps to ensure seamless deployment and management of machine learning workloads.
• Stay updated with the latest advancements in machine learning technology and incorporate best practices into the platform.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 5+ years of experience in software engineering or platform engineering, with a strong emphasis on machine learning.
• Extensive knowledge of programming languages such as Python, Java, or Scala.
• Experience with machine learning frameworks like TensorFlow, PyTorch, or similar.
• Strong understanding of cloud computing platforms (AWS, Google Cloud, Azure) and containerization technologies (Docker, Kubernetes).
• Experience with data management and processing tools such as Apache Spark or Kafka.
• Excellent problem-solving and analytical skills, with a keen attention to detail.

Technologies & Tools

This position primarily utilizes a range of cutting-edge technologies and tools including cloud computing services like Amazon Web Services (AWS), container orchestration platforms such as Kubernetes, and machine learning frameworks such as TensorFlow and PyTorch. Familiarity with data processing tools like Apache Spark and data visualization tools is also essential to support effective communication of insights derived from machine learning models.

Ideal Candidates

The ideal candidate for the Senior ML Platform Engineer position is someone who is both technically adept and possesses a collaborative spirit. They should have a passion for innovation and a strong commitment to leveraging machine learning technologies to drive business outcomes. An ideal candidate will demonstrate excellent communication skills, a proactive approach to problem-solving, and the ability to thrive in a fast-paced environment while managing multiple priorities effectively.