Job Summary

Skilled and motivated Machine Learning (ML) with a focus on the maintenance and enhancement of existing projects, implement new features, and contribute to the development of new solutions, with enough understanding of ML concepts to collaborate effectively within our team.

Key Responsibilities

Responsibilities

• 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.

Skill Requirements

Qualifications

• 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

Other Requirements