Senior Machine Learning Engineer
9 ore fa
Torino, Provincia di Torino; Piemonte, Italia
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Role: Senior Machine Learning Engineer (Remote)
Location:
Remote (Work from Anywhere) We are hiring for one of our clients, seeking a Machine Learning Engineer to work on a Full-time mbasis. The role involves designing, developing, and deploying machine learning models to solve complex problems. You will collaborate with cross-functional teams to integrate AI solutions into production systems. Design and implement machine learning models using Python, TensorFlow, and PyTorch.
• Develop scalable data pipelines to support model training and inference.
• Optimize models for performance, accuracy, and latency in production environments.
• Collaborate with software engineers to deploy models as APIs or microservices.
• Monitor model performance and retrain systems as needed to maintain accuracy. Proficiency in Python and machine learning frameworks such as TensorFlow or PyTorch.
• Experience with data preprocessing, feature engineering, and model evaluation.
• Knowledge of cloud platforms including AWS, GCP, or Azure for model deployment.
• Familiarity with MLOps practices, including CI/CD for machine learning workflows.
• This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of cutting-edge AI solutions. You will have the chance to influence high-impact projects that drive innovation. All qualified candidates are welcome regardless of background, experience, or prior employment history.
Location:
Remote (Work from Anywhere) We are hiring for one of our clients, seeking a Machine Learning Engineer to work on a Full-time mbasis. The role involves designing, developing, and deploying machine learning models to solve complex problems. You will collaborate with cross-functional teams to integrate AI solutions into production systems. Design and implement machine learning models using Python, TensorFlow, and PyTorch.
• Develop scalable data pipelines to support model training and inference.
• Optimize models for performance, accuracy, and latency in production environments.
• Collaborate with software engineers to deploy models as APIs or microservices.
• Monitor model performance and retrain systems as needed to maintain accuracy. Proficiency in Python and machine learning frameworks such as TensorFlow or PyTorch.
• Experience with data preprocessing, feature engineering, and model evaluation.
• Knowledge of cloud platforms including AWS, GCP, or Azure for model deployment.
• Familiarity with MLOps practices, including CI/CD for machine learning workflows.
• This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of cutting-edge AI solutions. You will have the chance to influence high-impact projects that drive innovation. All qualified candidates are welcome regardless of background, experience, or prior employment history.