Senior Platform ML Engineer [28837]

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Written by AI from the job title and company, not by Stealth, so some details may not match this job. The employer's own page has the real description.

Overview

As a Senior Platform ML Engineer at Stealth, you will play a crucial role in designing, developing, and deploying advanced machine learning models that drive decision-making processes within our organization. You will collaborate with cross-functional teams to enhance our platform's capabilities, ensuring scalability and performance while leveraging state-of-the-art technologies. Your expertise will contribute to optimizing algorithms and streamlining workflows, ultimately enabling the effective utilization of data across various initiatives.

Job Responsibilities

• Design and develop machine learning models tailored for various business needs.
• Implement robust data pipelines for model training and deployment.
• Collaborate with data scientists to test and validate model performance.
• Optimize existing models for improved accuracy and efficiency.
• Monitor deployed models, ensuring performance, reliability, and scalability.
• Document technical specifications and workflows for future reference.
• Mentor junior engineers and provide guidance on best practices in ML engineering.
• Stay abreast of the latest advancements in machine learning and AI technologies.

Qualifications

• Master's degree in Computer Science, Data Science, or a related field.
• Minimum of 5 years of experience in machine learning engineering or related roles.
• Strong proficiency in programming languages such as Python or Java.
• Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Proficient in data processing tools and techniques, including SQL and NoSQL databases.
• Knowledge of cloud platforms such as AWS, Azure, or Google Cloud is preferred.
• Strong problem-solving skills with a focus on algorithm optimization.
• Excellent communication skills, capable of working collaboratively in a team environment.

Technologies & Tools

The position of Senior Platform ML Engineer will involve the use of various technologies and tools including but not limited to Python, TensorFlow, PyTorch, AWS (EC2, S3, SageMaker), Docker for containerization, and CI/CD pipelines for efficient model deployment and version control. Familiarity with data visualization tools as well as database management systems will also be essential for executing your responsibilities effectively.

Ideal Candidates

The ideal candidates for this position will exhibit a blend of technical prowess and innovative thinking. They possess a strong analytical mindset, allowing them to tackle complex problems creatively and practically. The ability to work harmoniously within a team while also being self-motivated is crucial. Passion for machine learning, continuous learning, and staying updated with industry trends will differentiate outstanding candidates in this dynamic environment.