![Oliver James Associates](https://media.trabajo.org/img/noimg.jpg)
Python & DevOps Expert in Machine Learning
il y a 2 semaines
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:
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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.
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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.
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Production Champion: Take ownership of model deployment and monitoring, guaranteeing high performance and stability.
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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.
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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.
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Top-Level Communication: Present your work and insights directly to senior management, showcasing the impact of your contributions.
Qualifications:
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Technical Expertise:
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Essential: Strong Python programming skills, experience with HTTP REST APIs, and proficiency in Git version control.
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Essential: Experience in MLOps/DevOps practices, software testing, Linux operating systems, and containerization technologies (Docker, Podman).
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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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