Senior Platform ML Engineer [28417]

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Job Overview

The Senior Platform ML Engineer at Stealth will play a pivotal role in designing, developing, and deploying scalable machine learning platforms that enhance our product offerings. This position will involve collaborating with cross-functional teams to extract and analyze vast datasets, implementing advanced algorithms, and ensuring robust infrastructure to support machine learning initiatives. The engineer will also be responsible for optimizing system performance and providing technical leadership to junior engineers while exploring innovative solutions to complex engineering challenges.

Job Responsibilities

• Design and implement scalable machine learning models on cloud-based platforms.
• Collaborate with software engineers, data scientists, and product managers to deliver high-quality ML solutions.
• Optimize model performance and adapt systems for large-scale data processing.
• Develop and maintain workflows for automated data ingestion, preprocessing, and model training.
• Monitor and refine the ML pipeline, ensuring accurate performance metrics and model quality.
• Conduct research to stay updated on the latest ML technologies and methodologies.
• Provide mentorship to junior engineers and facilitate knowledge sharing across teams.

Qualifications

• Master's degree in Computer Science, Engineering, or a related field.
• 5+ years of experience in machine learning engineering or related roles.
• Proficiency in programming languages such as Python, Java, or Scala.
• Strong experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Familiarity with cloud services such as AWS, Google Cloud, or Azure.
• Hands-on experience in implementing ML algorithms and models.
• Excellent problem-solving skills and ability to work collaboratively in a team environment.

Technologies & Tools

The Senior Platform ML Engineer will primarily work with advanced machine learning frameworks such as TensorFlow and PyTorch, as well as data processing tools such as Apache Spark and Pandas. Familiarity with AWS, Google Cloud, or Azure cloud services will be crucial for deploying scalable solutions. Additionally, version control systems like Git and containerization tools such as Docker will be used to streamline workflows and enhance collaboration.

Ideal Candidates

The ideal candidates for the Senior Platform ML Engineer position at Stealth are innovative thinkers with a passion for machine learning and a commitment to driving technological advancements. They should demonstrate strong analytical skills, attention to detail, and a proactive approach to problem-solving. Candidates will be characterized by their ability to communicate complex ideas clearly and their eagerness to mentor junior team members. A track record of successful project management and a strong sense of teamwork will further distinguish suitable candidates in this dynamic role.