Senior Platform ML Engineer [28652]

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Job Overview

The Senior Platform Machine Learning (ML) Engineer at Stealth will play a pivotal role in designing, developing, and deploying scalable machine learning solutions to support the organization’s innovative projects. This position requires a highly skilled individual who can integrate and optimize AI models within the existing infrastructure, ensuring seamless functionality and performance. The Senior Platform ML Engineer will collaborate closely with data scientists and software engineers to deliver robust ML systems that meet business objectives and drive technological advancements.

Job Responsibilities

• Design and implement scalable machine learning algorithms and models tailored to specific business needs.
• Integrate machine learning components into existing platforms and workflows.
• Collaborate with data scientists to refine data processing techniques and model performance.
• Conduct experiments to evaluate and optimize machine learning models for performance and efficiency.
• Monitor, maintain, and troubleshoot deployed machine learning systems.
• Document processes, architectures, and configurations for future reference and knowledge sharing.
• Provide technical guidance and mentorship to junior engineers and interns.
• Stay current with industry trends and advancements in machine learning technologies.

Qualifications

• Master’s or Ph.D. degree in Computer Science, Mathematics, Data Science, or a related field.
• Minimum of 5 years of experience in machine learning or related software engineering roles.
• Proficient in programming languages such as Python, Java, or C++.
• Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
• Strong knowledge of algorithms, data structures, and computational complexity.
• Familiarity with cloud platforms (AWS, Google Cloud, Azure) and containerization technologies (Docker, Kubernetes).
• Excellent problem-solving skills and the ability to work in a fast-paced environment.
• Strong communication and collaboration skills, with an ability to work effectively in a team.

Technologies & Tools

The Senior Platform ML Engineer will utilize various technologies and tools essential for building machine learning systems. These include programming languages like Python and Java, ML libraries such as TensorFlow and PyTorch, as well as data processing tools like Apache Spark. Familiarity with cloud computing platforms, particularly AWS, Google Cloud, and Microsoft Azure, is also critical for deploying and scaling applications. Additionally, knowledge of version control systems (e.g., Git) and CI/CD pipelines will be necessary for efficient collaboration and deployment.

Ideal Candidates

Ideal candidates for the Senior Platform ML Engineer position will possess a strong analytical mindset and a passion for innovation within the machine learning domain. They should demonstrate a commitment to continuous improvement and adaptability in a rapidly changing technology landscape. Successful candidates will also exhibit strong interpersonal skills, enabling them to collaborate effectively with cross-functional teams. A proactive approach to problem-solving and the ability to lead projects will distinguish the best-fitting applicant for this crucial role.