Machine Learning Platform Engineer Job in @ Siemens

Job Description

CONTRACT 100% REMOTE This client is at the forefront of innovation, leveraging cutting-edge technologies to drive business success. We are seeking talented and motivated Machine Learning Platform Engineers to join our dynamic team. If you have a passion for data science, machine learning, and engineering, and thrive in a collaborative environment, then you would be a great fit. Job Description: As a Machine Learning Platform Engineer, you will play a crucial role in building and maintaining the platforms that our machine learning models run on. You will work closely with data scientists and ML engineers to ensure seamless integration and deployment of models into production. Your responsibilities will include: Key Responsibilities: Platform Development: Design and build robust platforms to support the deployment and execution of machine learning models. MLOps Implementation: Apply MLOps principles to automate and streamline the deployment, monitoring, and retraining of models. Model Development and Deployment: Collaborate with data scientists to build, deploy, and optimize machine learning models. Experiment Tracking: Track experiments and results to identify the best-performing models. Monitoring and Maintenance: Monitor model performance, detect issues, and address performance degradation. Retraining Models: Improve model performance by retraining them with new data as needed. Qualifications: Proven experience in data science, machine learning, and engineering. Hands-on experience with MLOps practices and tools. Strong programming skills in languages such as Python, R, or Java. Experience with full-stack development and building model monitoring platforms. Familiarity with DevOps and GitOps principles,

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Keyskills:   data science machine learning engineering Python R Java DevOps