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.
Senior Engineer - Machine Learning ML Ops in Abu Dhabi, AE
