Machine Learning Engineer Ops

• Design & Develop: Create and maintain reliable ML pipelines.
• Deploy: Implement scalable machine learning infrastructure.
• Optimize: Enhance AI models for better performance.
• Automate: Streamline workflows within the Data Science team.
• Monitor: Ensure smooth operation of ML systems with alert systems.
• Collaborate: Work with cross-functional teams to solve complex problems.
• Innovate: Lead research initiatives and develop best ML Ops practices.

• Education: Bachelor's or Master's in Computer Science, Engineering, or related field.
• Skills: Proficiency in Python, PyTorch/TensorFlow, version control systems, and ML Ops techniques.
• Experience: Handling large datasets, deploying ML models, CI/CD pipelines, containerization, and automation.
• Mindset: Problem-solving, analytical, and excellent communication skills. Self-motivation and up-to-date with AI advancements.

Preferred:

• Azure: Extensive experience with Azure Machine Learning.
• Development: Experience in computer vision, text, audio, and tabular data models.
• Tools: Proficiency in Gitlab CI, Jenkins, Grafana, Docker.

Our client is a leading content provider in the iGaming and Betting Industry. We offer innovative, regulated, and mobile-focused products, including slots, live casino, sports betting, virtual sports, and bingo.