Elevate your career as an AI Engineer, implementing cutting-edge MLOps and ETL pipelines. Join our innovative team to containerize and deploy impactful AI models in production.
As an AI Engineer, you'll focus on automating ML workflows and integrating advanced technologies. Your expertise in Python and AI libraries will enable you to transform prototypes into robust services. Collaborate with data scientists and maintain model governance principles while deploying and monitoring models for optimal performance.
Key Responsibilities:
- Implement automated MLOps CI/CD pipelines for data processing
- Containerize and deploy machine learning models into production
- Monitor models for drift detection and performance metrics
- Collaborate with data scientists on service transformations
- Write optimized prompts and evaluate model comparisons
Requirements:
- Proficiency in Python and libraries like Pandas and Huggingface
- Experience with multi-agent AI frameworks and LLM technologies
- Knowledge of software architecture and cloud systems
- Familiarity with DevOps practices and automated pipelines
- Strong communication skills to collaborate cross-functionally
Bring your AI expertise and engineering skills to drive innovation and impact.
AI Engineer for MLOps Pipelines in Montréal employer: Talents LGS
Join a dynamic team where you can grow your skills in data engineering while working with cutting-edge technologies in a collaborative environment. Our commitment to employee development ensures that you will have ample opportunities to advance your career, whether it be towards a Data Architect or Data Specialist role. Located in a vibrant area, we foster a culture of innovation and support, making us an excellent employer for those passionate about data and cloud technologies.
