Senior Platform ML Engineer [28652]

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Overview

The Senior Platform ML Engineer at Stealth will play a crucial role in designing, developing, and deploying scalable machine learning models and platforms that drive innovation in our product offerings. The successful candidate will work closely with cross-functional teams to integrate machine learning solutions into various applications, ensuring that they meet performance, scalability, and security standards. This position requires a deep understanding of machine learning principles, cloud technologies, and software engineering best practices.

Job Responsibilities

• Design and implement machine learning algorithms and models that enhance product features.
• Collaborate with data scientists and software engineers to optimize data pipelines and model deployment processes.
• Develop and maintain scalable machine learning platforms on cloud infrastructure.
• Conduct performance tuning and optimization of embedded machine learning models.
• Build robust documentation for machine learning workflows and solutions.
• Implement best practices for model monitoring, governance, and security compliance.
• Mentor junior engineers and contribute to knowledge sharing within the team.

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 a related domain.
• Proficiency in programming languages such as Python, Java, or Scala.
• Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-Learn.
• Strong knowledge of cloud platforms such as AWS, Azure, or Google Cloud.
• Familiarity with containerization technologies such as Docker and Kubernetes.
• Solid understanding of algorithms, data structures, and software engineering principles.

Technologies & Tools

The Senior Platform ML Engineer will utilize a variety of technologies and tools, including but not limited to machine learning libraries such as TensorFlow and PyTorch for model development, cloud services from AWS or Azure for deployment, and Docker and Kubernetes for container orchestration. Familiarity with data processing tools like Apache Spark and SQL databases is also essential for effective handling of large datasets.

Ideal Candidates

Ideal candidates for the Senior Platform ML Engineer position will possess a strong analytical mindset and the ability to approach complex problems with innovative solutions. They should exhibit excellent communication skills to effectively collaborate with diverse teams and share insights across the organization. A commitment to continuous learning and adaptation to rapidly evolving technologies is crucial, as is a proactive attitude towards mentoring others and contributing to a positive team culture.