Senior Machine Learning Engineer / Data Scientist

5 - 9 years

0 Lacs

Posted:4 days ago| Platform: Shine logo

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On-site

Job Type

Full Time

Job Description

As a Senior Machine Learning Engineer / Data Scientist at Siemens, your role will involve the following responsibilities: - **Solution Development**: - Design, develop, and implement end-to-end machine learning pipelines for various use cases to improve internal Siemens processes. - **Technical Leadership**: - Provide expertise in ML engineering best practices, including data preprocessing, model training, evaluation, deployment, and incorporating MLOps and LLMOps approaches for scalable and maintainable solutions. - **Project Ownership and Management**: - Lead projects from conception to deployment, translating business requirements into scalable technical solutions, ensuring timely delivery and alignment with business objectives. - **Collaboration**: - Work closely with an international team of diverse backgrounds to integrate AI solutions into existing systems. - **Communication**: - Clearly articulate complex technical concepts to non-technical stakeholders and team members. Comfort with proactively raising concerns, suggesting alternatives, and engaging in constructive debate when appropriate. - **Mentorship**: - Mentor junior team members and contribute to the overall skill development within the team. **Qualifications Required**: - **Education**: - Advanced degree in Computer Science, Data Science, Machine Learning, Mathematics, Statistics, Physics, or a related field. - **Experience**: - Preferred 5+ Years of Experience in machine learning engineering or data science roles. - Demonstrated ability to manage and deliver complex projects. - **Technical Skills**: - Strong Proficiency in programming languages such as Python. - Experience with machine learning frameworks (e.g., TensorFlow, PyTorch). - Experience with cloud-native ML development (Azure, AWS). - Familiarity with large language models and natural language processing as well as experience with LLM frameworks (langchain, promptflow). - Proven ability to deliver end-to-end projects. - Knowledge of big data technologies (Snowflake, Spark). - Experience with data visualization tools and libraries. - Knowledge of software development best practices, including version control (e.g., GitLab) and collaborative coding. - **Soft Skills**: - Strong verbal and written communication skills. - Independent working style with a proactive approach to problem-solving. - High level of ownership and accountability for project outcomes. - Excellent teamwork and collaboration abilities. - Effective project management and organizational skills. Siemens is committed to creating a diverse environment and is glad to be an equal opportunity employer. They strongly encourage applications from a diverse talent pool.,

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Siemens

Automation Machinery Manufacturing

Munich Brande

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