Job Title:Senior Engineer - Machine Learning ML Ops Location: Abu Dhabi, AE Employment Type: Contract Job Title: Sr. Engineer - MLOps Location: Abu Dhabi Job Overview: As a Senior MLOps Engineer, you will build and manage the MLOps infrastructure, working closely with Data Scientists and Engineers to automate machine learning workflows, manage deployments, and optimize CI/CD pipelines. This role involves setting up scalable environments and ensuring robust versioning and deployment of ML models. Key Responsibilities:
Develop and manage CI/CD pipelines for ML workflows.
Automate ML model deployment across production, staging, and testing environments.
Collaborate with cross-functional teams to enhance model training, validation, and deployment.
Monitor and optimize MLOps pipelines for performance and reliability.
Implement and document MLOps infrastructure and best practices.
Qualifications:
7+ years in CI/CD pipeline management, preferably in ML.
Strong experience with Docker, Kubernetes, and machine learning frameworks (e.g., TensorFlow, PyTorch).
Proficiency in scripting languages (Python, Bash).
Preferred Skills:
Familiarity with data storage engines (NoSQL, SQL, Elasticsearch).
Knowledge of distributed systems and web software development.
Strong communication and collaboration skills.
What We Look For: A performance-driven, inquisitive individual passionate about advancing in the AI space, with strong problem-solving skills and a collaborative approach. #LI-DM1
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