MLOps Engineer-50007259
Posted 24 days ago · 0 applicants
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The role in plain words
- At least 2 years of experience in a similar role working with ML systems in production environments
- Proven experience building and operating ML pipelines on AWS
- Hands-on experience with Docker, Git, and CI/CD processes
- Strong proficiency in Python and experience developing and maintaining production-grade ML code
- Proven experience working in Linux environments
Extracted from the job description · kept up to date automatically
Who this suits
Full job description
Original listing · kept for referencePhoenix Financial is a leader in Israeli asset management, insurance, and financial services.
Managing over $140 billion in assets, Phoenix continues to drive innovation and deliver value to private and corporate clients through excellence in service and advanced digital solutions.
We are looking for an experienced MLOps Engineer to join our Data, AI, and Machine Learning teams. This role combines software engineering, cloud infrastructure, automation, and a deep understanding of the machine learning lifecycle. The position involves designing, building, developing, and continuously improving the infrastructure required for training, deploying, and maintaining Machine Learning models in production environments, while working closely with Data Science, Data Engineering, Development, Architecture, DevOps, Information Security, and business stakeholders
What you’ll do?
• Design, build, and maintain end-to-end ML and ETL pipelines, including model training, validation, and deployment processes.
• Develop and maintain CI/CD pipelines and implement AWS services and infrastructure.
• Build and enhance ML infrastructure with a strong focus on production environments and monitoring capabilities.
• Design and develop architectures for LLM-based products and solutions.
• Implement DevOps methodologies, develop automation processes, and create and maintain infrastructure blueprints.
What are we looking for?
• Bachelor’s degree in Computer Science, Engineering, or a related field.
• At least 2 years of experience in a similar role working with ML systems in production environments.
• Proven experience building and operating ML pipelines on AWS.
• Hands-on experience with Docker, Git, and CI/CD processes.
• Strong proficiency in Python and experience developing and maintaining production-grade ML code.
• Proven experience working in Linux environments.
• Knowledge of networking and communication protocols – a significant advantage.
Full-time, Sunday–Thursday, hybrid
Rishon LeZion, The 1000 complex, adjacent to Moshe Dayan Railway
Questions about this role
- This listing did not state a salary. We only show pay when the employer publishes it.
- At least 2 years of experience in a similar role working with ML systems in production environments, Proven experience building and operating ML pipelines on AWS, Hands-on experience with Docker, Git, and CI/CD processes, Strong proficiency in Python and experience developing and maintaining production-grade ML code, Proven experience working in Linux environments