Machine Learning Engineer
Define model development methodologies and best practices while managing the full ML lifecycle. Develop tools and pipelines to support the productionalization of ML-driven microservices.
6 Machine Learning Engineer jobs in Italy available for remote work from home. Apply for positions such as Machine Learning Engineer, Senior Machine Learning Engineer (LLMs - Agentic Workflows), AI / Machine Learning Engineer Leaders and Decision-Makers for Workflow Management Tools - Italy and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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Define model development methodologies and best practices while managing the full ML lifecycle. Develop tools and pipelines to support the productionalization of ML-driven microservices.
Architect and develop autonomous AI agents capable of planning, tool-use, and self-correction using patterns like ReAct. Implement robust memory systems, evaluation frameworks, and guardrails to ensure efficient and safe multi-step workflows.
Participate in research projects, interviews, and surveys to provide expert insights on workflow management tools. Share professional expertise to help researchers and organizations improve AI models and development processes.
Evaluate and analyze LLM performance while architecting and building inference and training pipelines. You will contribute to hands-on design, model training, and deployment strategies within a technical greenfield project.
You will own the end-to-end tracking and reporting of computer vision accuracy metrics while curating and labeling datasets to improve model performance. Additionally, you will build and maintain continuous learning pipelines to ensure models are retrained and deployed efficiently.
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The MLOps Engineer will design, deploy, and maintain scalable and ethical autonomous AI systems. Key tasks include model deployment, cloud infrastructure management, automation of workflows, and ensuring compliance with security and ethical standards.
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