Machine Learning Engineer @ Gfl Recruitment

Job Description

Dear Candidate,

Greetings of the day!

we have opening for

Machine Learning Engineer

Job Description

Experience: 1+
We need a passionate Machine Learning Ops Engineer to help us in discovering and implementing state-of-the-art solutions for our Machine Learning projects to enable rapid experimentation, increase the accuracy of our models and ensure the high quality of our products.

Job Responsibilities:

• Research and implement MLOps tools, frameworks, and platforms for our Data Science projects.
• Work on a backlog of activities to raise MLOps maturity in the organization.
• Proactively introduce a modern, agile and automated approach to Data Science.
• Conduct internal training and presentations about MLOps tools benefits and usage.

Education/Experience

Required experience and qualifications:

• Wide experience with Kubernetes is a must-have.
• Experience in the operationalization of Data Science projects (MLOps) using at least one of the popular frameworks or platforms (e.g. Kubeflow, AWS Sagemaker, Google AI
• Platform, Azure Machine Learning, DataRobot, DKube, Notebook , Dataiku ( Will train ) ).
• Good understanding of ML and AI concepts. Hands-on experience in ML model development.
• Proficiency in Python used both for ML and automation tasks. Good knowledge of Bash and Unix command line toolkit.
• Experience in CI/CD/CT pipelines implementation.
• Experience with cloud platforms - preferably AWS - would be an advantage.
• Excellent communication skills in English, both verbal and in writing.

Regards,
HR Team

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