Senior Engineer - Machine Learning ML Ops

Job Title: Senior Engineer - Machine Learning ML Ops

Location: Abu Dhabi, AE

Employment Type: Contract

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.