Senior Platform ML Engineer [28836]

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Job Overview

The Senior Platform Machine Learning Engineer at Stealth will be instrumental in designing and implementing advanced machine learning models and algorithms that drive our core technology platform. This role requires a strong technical background in machine learning, software development, and system architecture, as well as the ability to collaborate effectively with cross-functional teams to deliver robust and scalable solutions. The successful candidate will leverage their expertise to optimize existing systems and innovate new features that enhance user experience and operational efficiency.

Job Responsibilities

• Design and develop machine learning algorithms and models tailored to specific business requirements.
• Collaborate with data scientists and software engineers to integrate machine learning models into production systems.
• Conduct data analysis and preprocessing to ensure high-quality data for model training and evaluation.
• Optimize and enhance existing machine learning workflows for performance and scalability.
• Monitor the performance of deployed models and implement necessary adjustments based on system feedback.
• Document workflows, processes, and learning outcomes in a clear and concise manner for team knowledge sharing.
• Stay abreast of the latest developments in machine learning technologies and methodologies to leverage new opportunities.

Qualifications

• Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field.
• Minimum of 5 years of experience in machine learning engineering or a similar role.
• Proficiency in programming languages such as Python, Java, or C++.
• Extensive experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Solid understanding of data structures, algorithms, and statistical modeling.
• Experience with cloud platforms (e.g., AWS, Google Cloud Platform, Azure) for deploying machine learning models.
• Strong analytical and problem-solving skills with attention to detail.
• Excellent communication and teamwork abilities.

Technologies & Tools

The Senior Platform ML Engineer will work extensively with various technologies and tools, including but not limited to machine learning libraries such as TensorFlow and PyTorch, data processing tools like Apache Spark and Pandas, as well as cloud services from AWS and Azure. Proficiency in containerization tools like Docker and orchestration platforms such as Kubernetes will also be advantageous to facilitate scalable model deployment and management.

Ideal Candidates

Ideal candidates for the Senior Platform ML Engineer position are innovative thinkers with a passion for leveraging machine learning to solve complex problems. They possess strong analytical skills and demonstrate the ability to adapt quickly to new technologies in a rapidly changing environment. Effective communication skills and a collaborative mindset are essential, as the role requires frequent interaction with cross-functional teams. A strong foundation in software engineering principles alongside a curiosity for research will make them valuable contributors to our mission.