Senior ML Platform Engineer [28417]

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Job Overview

The Senior ML Platform Engineer at Stealth will be instrumental in designing, building, and optimizing robust machine learning platforms that facilitate advanced analytics solutions across various projects. This role requires a combination of deep technical expertise in machine learning systems, experience in cloud architecture, and the ability to collaboratively work with cross-functional teams. The successful candidate will leverage their extensive knowledge to enhance data processing pipelines and develop scalable machine learning models that deliver innovative insights to drive business decisions.

Job Responsibilities

• Design, implement, and maintain scalable machine learning platforms and infrastructure.
• Collaborate with data scientists and software engineers to create optimized data pipelines for training and deploying machine learning models.
• Monitor and improve model performance, ensuring data quality and system reliability.
• Develop automation scripts to streamline the operationalization of machine learning workflows.
• Research and apply the latest advancements in machine learning and AI to improve platform capabilities.
• Provide technical guidance and mentorship to junior engineers and team members.
• Participate in architectural discussions and contribute to the overall ML strategy within the organization.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 5+ years of experience in machine learning engineering or related fields.
• Strong programming skills in languages such as Python, Java, or Scala.
• Experience with machine learning frameworks such as TensorFlow, PyTorch, or equivalent.
• Proficiency in cloud platforms (AWS, GCP, Azure) and container orchestration technologies (Docker, Kubernetes).
• Solid understanding of data engineering principles and experience with SQL and NoSQL databases.
• Excellent problem-solving skills and the ability to work effectively in a team-oriented environment.

Technologies & Tools

The Senior ML Platform Engineer will use a variety of technologies and tools, including but not limited to cloud computing services (AWS, GCP, Azure), machine learning libraries (TensorFlow, Scikit-learn, PyTorch), containerization tools (Docker, Kubernetes), and data management systems (MySQL, MongoDB). Familiarity with CI/CD tools and DevOps practices will also be essential to effectively manage and deliver ML solutions.

Ideal Candidates

The ideal candidate for the Senior ML Platform Engineer position will possess a passion for machine learning and a strong analytical mindset. They should be detail-oriented and proactive, capable of taking the initiative to drive projects to completion. Exceptional communication skills are crucial, as this role requires collaboration with diverse teams and stakeholders. Moreover, a desire to stay updated with industry trends and continually improve the existing platforms will make a candidate stand out in this role.