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Senior Machine Learning Engineer / Data Scientist (m/f/d)
Indeed
Full-time
Onsite
No experience limit
No degree limit
R. Elias Garcia 278, 2700-333 Amadora, Portugal
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Summary: Seeking a highly skilled Senior Machine Learning Engineer / Data Scientist to design, develop, and implement end-to-end machine learning pipelines, providing technical leadership and project ownership. Highlights: 1. Lead projects from conception to deployment, translating business requirements 2. Provide expertise in ML engineering best practices and MLOps/LLMOps approaches 3. Collaborate internationally and mentor junior team members We are seeking a highly skilled and motivated Senior Machine Learning Engineer / Data Scientist to join our team. The ideal candidate will possess a strong technical background in machine learning and data science, with strong experience in developing and deploying models in real\-world production environments. This role requires an individual who works independently, takes ownership of projects, communicates effectively, and thrives in a collaborative team setting. **Your mission will be…*** Solution Development: Design, develop, and implement end\-to\-end machine learning pipelines for various use cases to improve our 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, including engineers, product managers, and other stakeholders, 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. **We are looking for someone with…** * 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 (i.e. from exploration to endpoint serving) + 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: + Demonstrated ability to present ideas concisely and directly in international business contexts + Comfort with proactively raising concerns, suggesting alternatives, and engaging in constructive debate when appropriate + Experience bridging communication between global teams and navigating cultural differences in professional settings + 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. + Fluent English required; German is beneficial but not mandatory Please attach your CV in English. **\#Siemens** Siemens is committed to creating a diverse environment and is glad to be an equal opportunity employer. We strongly encourage applications from a diverse talent pool!

Source:  indeed View original post
João Santos
Indeed · HR

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