MLOps Engineer

We are looking to hire a MLOps Engineer for one of our clients.

Qualifications:

• Proficiency in Python is essential particularly in integrating with other nonpython applications.
• Experience in building and maintaining binary Python libraries with an understanding of GIL locks threads Wheels and shared object files is necessary.
• Expertise in analyzing and optimizing system performance is required with a focus on reducing CPU load improving memory usage efficiency and increasing execution speed.
• Experience with machine learning frameworks such as PyTorch TensorFlow and YOLOv8 with the ability to integrate these frameworks effectively into production systems.
• Knowledge of leveraging GPU/CUDA technologies to enhance machine learning and data processing tasks.
• Experience in designing deploying and managing containerized applications using Docker and Kubernetes for scalable and efficient deployments.
• Familiarity with advanced optimization technologies like OpenVINO and DeepSpeed is beneficial.
• A solid understanding of cloud services including AWS Azure and Google Cloud is necessary. Expertise in other deployment methods monitoring setting up backups alerting logging and debugging is essential.
• The ability to follow best practices in DevOps and implement continuous integration and continuous deployment (CI/CD) pipelines is expected.
• An understanding of Node.js and the ability to integrate Python and machine learning models with Node.js applications is an added advantage.
• A commitment to staying updated with the latest developments in Python machine learning technologies and system optimization techniques is essential.

Responsibilities:

• Collaboration with crossfunctional teams to identify bottlenecks and promptly implement solutions.
• The ability to work both independently and as part of a team with effective use of remote collaboration tools in a fully agile environment.
• Ensuring the performance security scalability and optimization of machine learning models and systems is a primary responsibility.
• Participation in peer code reviews and providing suggestions based on experience.
• Strong documentation skills are required with the ability to understand and interpret technical documentation.
• Excellent communication skills.

If you are interested please send your CV to or apply below

Remote Work :

No