Python & DevOps Expert in Machine Learning
Il y a 7 mois
**OPEN FOR BOTH PERMANENT AND FREELANCE**
A leading financial institution is seeking a skilled **Machine Learning Operations Engineer** to join their expanding Center of Expertise. This role presents a unique opportunity to contribute to the modernization of data management and governance, and to enable cutting-edge advanced analytics use cases across various departments like Risk, Compliance, Marketing, and more.
**Responsibilities**:
- ** Empowering Data Scientists**: Collaborate with data scientists to establish optimal project environments, including dependency management and providing project templates equipped with code quality and testing tools.
- ** Bridging the Gap**: Act as a liaison between data science and IT teams, ensuring seamless integration of models into the production environment while adhering to strict quality standards.
- ** Production Champion**: Take ownership of model deployment and monitoring, guaranteeing high performance and stability.
- ** Incident Management**: Act as the first line of defense in case of incidents, identifying root causes, coordinating with relevant teams, and communicating effectively with stakeholders.
- ** Innovation Driver**: Continuously explore and implement novel approaches using existing tools to expand the capabilities of data scientists and drive AI adoption within the organization.
- ** Top-Level Communication**: Present your work and insights directly to senior management, showcasing the impact of your contributions.
**Qualifications**:
- ** Technical Expertise**:
- ** Essential**: Strong Python programming skills, experience with HTTP REST APIs, and proficiency in Git version control.
- ** Essential**: Experience in MLOps/DevOps practices, software testing, Linux operating systems, and containerization technologies (Docker, Podman).
- ** Education & Experience**:
- Master's degree in Computer Science or a related field, or equivalent experience demonstrating strong knowledge of Programming, System Engineering, or DevOps.
- Minimum 3 years of relevant experience, with at least 1 year focused on Data Science and Analytics.
- ** Soft Skills**: Excellent teamwork, proactiveness, results-driven approach, strong communication and influencing abilities, analytical thinking, autonomy, commitment, and the ability to thrive in a dynamic and multicultural environment.
**Bonus**: Familiarity with the financial services industry would be advantageous.
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