Senior ML Platform Engineer [28417]

This job was posted over 30 days ago, so it has most likely closed. See newer jobs like it.

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

As a Senior ML Platform Engineer at Stealth, you will be integral in designing, implementing, and maintaining machine learning platforms that support various applications across the organization. You will work closely with data scientists, software engineers, and product teams to ensure that machine learning models are deployed effectively and efficiently. Your role will encompass architecture design, performance optimization, and the establishment of best practices for machine learning operations, enabling seamless integration of ML solutions into our product offerings.

Job Responsibilities

• Design and implement robust machine learning infrastructure to support the full lifecycle of model training, deployment, and monitoring.
• Collaborate with data scientists to optimize algorithms and ensure scalability of machine learning models.
• Establish and maintain CI/CD pipelines specifically for ML applications.
• Ensure model compliance with governance, security, and ethical standards.
• Monitor and troubleshoot ML systems to ensure high availability and performance.
• Develop and document best practices for machine learning operations and model management.
• Participate in code reviews and provide mentorship to junior engineers.

Qualifications

• Bachelor's or Master’s degree in Computer Science, Data Science, or a related discipline.
• A minimum of 5 years of experience in machine learning, software engineering, or related fields.
• Strong programming skills in Python and experience with ML frameworks like TensorFlow, PyTorch, or Scikit-learn.
• Proven experience with cloud computing platforms such as AWS, Azure, or Google Cloud.
• Familiarity with containerization technologies like Docker and orchestration tools such as Kubernetes.
• Solid understanding of data processing and ETL pipelines.
• Excellent analytical and troubleshooting skills, with the ability to operate effectively in a collaborative environment.

Technologies & Tools

The Senior ML Platform Engineer at Stealth will work with a diverse set of technologies, including popular machine learning libraries such as TensorFlow, PyTorch, and Scikit-learn. Proficiency in containerization with Docker and orchestration tools like Kubernetes is critical. Familiarity with cloud computing platforms, particularly AWS, Azure, or Google Cloud, will be essential for effective deployment and scaling of ML solutions. Additionally, experience with CI/CD tools and version control systems will enhance workflow efficiency.

Ideal Candidates

The ideal candidate for the Senior ML Platform Engineer role is an innovative and solutions-oriented individual who thrives in a fast-paced, collaborative environment. They will possess a strong analytical mindset, coupled with excellent communication skills, allowing them to effectively convey complex technical concepts to non-technical stakeholders. A proactive approach to problem-solving, a passion for machine learning technologies, and the ability to adapt to rapidly changing requirements will distinguish successful candidates. Strong leadership qualities and a commitment to mentoring others will further enhance the team's performance and culture.