Senior Platform ML Engineer [28837]

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Job Overview

The Senior Platform ML Engineer at Stealth will play a pivotal role in designing, building, and maintaining scalable machine learning platforms that enable effective model training and deployment. This position requires a hands-on approach to solving complex engineering and data challenges, collaborating with cross-functional teams to integrate advanced algorithms into production systems. The successful candidate will enhance platform capabilities and ensure the reliability and efficiency of machine learning workflows while driving strategic initiatives within the organization.

Job Responsibilities

• Design and implement scalable machine learning platforms to facilitate model building, deployment, and monitoring.
• Collaborate closely with data scientists to understand their needs and translate them into engineering specifications.
• Optimize existing machine learning pipelines for performance, scalability, and reliability.
• Conduct code reviews and provide mentorship to junior engineers, ensuring adherence to best coding practices.
• Deploy machine learning models into production environments and monitor their performance.
• Identify and rectify performance bottlenecks within the platform and data workflows.
• Research and implement new technologies that improve platform capabilities.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related field.
• Minimum of 5 years of experience in software engineering or machine learning engineering.
• Proficiency in programming languages such as Python, Java, or Scala.
• Strong experience with cloud platforms (AWS, GCP, Azure) and container technologies (Docker, Kubernetes).
• Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Familiarity with data storage solutions (SQL, NoSQL) and big data technologies (Spark, Hadoop).
• Excellent problem-solving skills and the ability to thrive in fast-paced environments.

Technologies & Tools

The Senior Platform ML Engineer will utilize a variety of technologies and tools in this position. Key technologies include cloud computing platforms such as AWS and Google Cloud, as well as containerization solutions like Docker and Kubernetes. Additionally, familiarity with machine learning libraries such as TensorFlow and PyTorch, alongside data handling tools like Apache Spark and SQL databases, will be essential to ensure the seamless development and deployment of machine learning models.

Ideal Candidates

The ideal candidate for the Senior Platform ML Engineer role will possess not only the technical expertise required for the position but also a passion for innovation in machine learning and a commitment to continuous learning. An effective communicator with strong collaborative skills, the candidate should demonstrate critical thinking and adaptability in solving complex challenges. An eagerness to explore new technologies and a proactive approach to integrating cutting-edge solutions into existing workflows will set successful candidates apart in this dynamic role.