Senior Platform ML Engineer [28880]

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Job Overview

The Senior Platform Machine Learning Engineer at Stealth will play a pivotal role in developing and implementing machine learning models that enhance the robustness and scalability of our platform. This position requires a creative individual who can bridge the gap between advanced machine learning algorithms and production-grade systems. The successful candidate will collaborate with cross-functional teams to translate business requirements into technological solutions and will ensure the continuous improvement of our machine learning infrastructure.

Job Responsibilities

• Design, develop, and deploy machine learning models into production for various applications.
• Optimize existing algorithms to improve performance, accuracy, and speed.
• Collaborate with software engineers and data scientists to integrate machine learning solutions into full-stack applications.
• Monitor and maintain deployed models, including retraining and performance tuning as necessary.
• Conduct research to explore new machine learning techniques and tools to enhance platform capabilities.
• Document processes and workflows to ensure reproducibility and maintainability of ML systems.
• Mentor junior engineers and contribute to a team culture of continuous learning and improvement.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field; Master’s or PhD preferred.
• 5+ years of experience in machine learning, data science, or related technical field.
• Proficiency in programming languages such as Python, Java, or C++.
• Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Strong understanding of algorithm development, data structures, and software engineering principles.
• Proven experience in deploying machine learning models in cloud environments (AWS, Azure, Google Cloud).
• Excellent problem-solving skills and ability to work collaboratively within an agile team.

Technologies & Tools

The Senior Platform Machine Learning Engineer will primarily work with tools and technologies such as Python, TensorFlow, PyTorch, Docker, Kubernetes, and various cloud platforms (AWS, Google Cloud, or Azure). A strong familiarity with data processing tools such as Apache Spark or Hadoop is also essential, along with experience in utilizing CI/CD pipelines for model deployment.

Ideal Candidates

Ideal candidates for the Senior Platform Machine Learning Engineer position will possess a blend of technical expertise and soft skills. They will be innovative thinkers who are not only technically proficient but also demonstrate strong communication abilities. A successful candidate will be one who is adaptable to changing environments, thrives in a collaborative team setting, and is passionate about leveraging machine learning to solve real-world problems. A continuous learner who stays updated with industry trends and developments will excel in this role.