Ai Engineer For Mlops Pipelines
Talents LGS
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.#J-18808-Ljbffr
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.#J-18808-Ljbffr
Vacancy posted more than 2 months ago
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