Machine Learning - Ops Engineer

• Maintain and optimize deployed ML solutions ensuring reliability, performance, and security.
• Collaborate with the team to design and implement new features for existing ML projects based on evolving requirements
• Troubleshoot and resolve production issues, ensuring minimal downtime.
• Assist in scoping, building, and deploying new ML project in the information security space.
• Stay current with advancements in ML to propose practical, engineering-focused solutions.

• Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience).
• Proficiency in Python with experience in writing clean, efficient, and maintainable code.
• Experience with SQL for querying, manipulating, and managing structured data in databases.
• Proven experience in software engineering with a focus on deploying, monitoring, scaling, and maintaining ML systems from scratch.
• Experience with data ingestion processes, including the collection, processing, and integration of data from various sources into ML systems.
• Knowledge of DevOps practices (CI/CD, model monitoring/observability)
• Experience with cloud platforms, AWS preferred.
• Practical knowledge of machine learning concepts (e.g., model training, evaluation) and experience with ML frameworks to support engineering tasks.
• Familiarity with data science workflows, including data preprocessing, feature engineering, and analysis.
• Ability to collaborate effectively in a team environment and communicate technical concepts clearly

Simeio is an equal opportunity employer. If you require assistance with completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to any of the recruitment team at recruitment@simeio.com or +1 404-882-3700.