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40 results for machine-learning jobs in Flemish Brabant within a 30 km radius
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Are you passionate about data-driven platforms, machine learning models, and innovative applications? * Model Research: Investigate and select appropriate machine learning models. * ML Modeling: Develop and refine machine learning models. * Develop predictive and machine learning models tailored to client needs. * Advise clients on translating their business requirements into technical solutions using machine learning techniques. * Stay updated on the latest trends in machine learning and AI, sharing insights with clients. * Hold a university degree in Computer Science, (Business) Engineering, or a specialized master's in Machine Learning or AI. * Have a solid understanding of various machine learning models (e.g., SVM, RNN, Deep Learning) and their applications. * Eager to learn and passionate about data and machine learning technologies.
Are you passionate about data-driven platforms, machine learning models, and innovative applications? * Model Research: Investigate and select appropriate machine learning models. * ML Modeling: Develop and refine machine learning models. * Develop predictive and machine learning models tailored to client needs. * Advise clients on translating their business requirements into technical solutions using machine learning techniques. * Stay updated on the latest trends in machine learning and AI, sharing insights with clients. * Hold a university degree in Computer Science, (Business) Engineering, or a specialized master's in Machine Learning or AI. * Have a solid understanding of various machine learning models (e.g., SVM, RNN, Deep Learning) and their applications. * Eager to learn and passionate about data and machine learning technologies.
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In this role, you will play a key part in designing, developing, and deploying machine learning solutions for our clients across various industries. * Design, develop, and deploy machine learning models and algorithms * Stay up to date with the latest advancements in machine learning and artificial intelligence * 5+ years of experience in a data science or machine learning role * Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn * and learning capabilities
In this role, you will play a key part in designing, developing, and deploying machine learning solutions for our clients across various industries. * Design, develop, and deploy machine learning models and algorithms * Stay up to date with the latest advancements in machine learning and artificial intelligence * 5+ years of experience in a data science or machine learning role * Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn * and learning capabilities
Interest in Computer Vision and Machine Learning is an asset
Interest in Computer Vision and Machine Learning is an asset
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Machine Learning Ops: Support the end-to-end ML lifecycle on AWS, including data prep, model training, deployment, and performance monitoring. * AI/ML Fundamentals: Solid understanding of core GenAI concepts (LLMs, RAG, prompt engineering, vector databases) and traditional machine learning. * Growth: Continuous learning opportunities and a clear career path.
Machine Learning Ops: Support the end-to-end ML lifecycle on AWS, including data prep, model training, deployment, and performance monitoring. * AI/ML Fundamentals: Solid understanding of core GenAI concepts (LLMs, RAG, prompt engineering, vector databases) and traditional machine learning. * Growth: Continuous learning opportunities and a clear career path.
Interest in Computer Vision and Machine Learning is an asset
Interest in Computer Vision and Machine Learning is an asset
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Interest in Computer Vision and Machine Learning is an asset
Interest in Computer Vision and Machine Learning is an asset
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Generative AI & Model Engineering: Select, evaluate, and integrate foundation models on Amazon Bedrock; design, implement, and evaluate RAG pipelines (including retrieval quality and RAG evaluation); apply prompt engineering and model customization; and leverage Amazon SageMaker for building and deploying classical (non-generative) machine learning models and for the broader ML lifecycle - training, hosting, and monitoring - where appropriate. * Experience developing traditional (classical) machine learning models — such as classification, regression, forecasting, or clustering — and managing their lifecycle on Amazon SageMaker (data preparation, training, deployment, and monitoring). * AWS Certifications (e.g., AWS Certified Generative AI Developer – Professional, AWS Certified Machine Learning – Specialty, AI Practitioner, or Solutions Architect) are a strong plus.
Generative AI & Model Engineering: Select, evaluate, and integrate foundation models on Amazon Bedrock; design, implement, and evaluate RAG pipelines (including retrieval quality and RAG evaluation); apply prompt engineering and model customization; and leverage Amazon SageMaker for building and deploying classical (non-generative) machine learning models and for the broader ML lifecycle - training, hosting, and monitoring - where appropriate. * Experience developing traditional (classical) machine learning models — such as classification, regression, forecasting, or clustering — and managing their lifecycle on Amazon SageMaker (data preparation, training, deployment, and monitoring). * AWS Certifications (e.g., AWS Certified Generative AI Developer – Professional, AWS Certified Machine Learning – Specialty, AI Practitioner, or Solutions Architect) are a strong plus.
Experience with Python and/or Machine Learning is a plus.
Experience with Python and/or Machine Learning is a plus.
Experience with Python and/or machine learning.
Experience with Python and/or machine learning.
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AI Architecture: You define implementation standards for AI and Machine Learning models within the data platform.
AI Architecture: You define implementation standards for AI and Machine Learning models within the data platform.
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As a certified Google Cloud Managed Services partner, we develop cutting-edge practical solutions using AI, Machine Learning, Big Data, and Google Workspace. We are a fast-paced community driven by lifelong learning and a relentless pursuit of innovation in work cultures and customer experiences.
As a certified Google Cloud Managed Services partner, we develop cutting-edge practical solutions using AI, Machine Learning, Big Data, and Google Workspace. We are a fast-paced community driven by lifelong learning and a relentless pursuit of innovation in work cultures and customer experiences.
No match yet? There are 29 more jobs that could match your search
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Experience in industrial maintenance, machine building, installation engineering or field service can be highly relevant. * Several years of relevant practical experience in maintenance, industrial installations, machine building, field service or a comparable technical environment.
Experience in industrial maintenance, machine building, installation engineering or field service can be highly relevant. * Several years of relevant practical experience in maintenance, industrial installations, machine building, field service or a comparable technical environment.
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• Initiative, proactivity, and a passion for learning. • Continuous learning and development—your growth never stops.
• Initiative, proactivity, and a passion for learning. • Continuous learning and development—your growth never stops.
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Access to LinkedIn Learning, internal mentoring programs, and the global SAI Library for AI empowerment;
Access to LinkedIn Learning, internal mentoring programs, and the global SAI Library for AI empowerment;
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You are a team player, passionate in your work and have a great learning agility.
You are a team player, passionate in your work and have a great learning agility.
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We are committed to helping you on this journey through our diverse, equitable and inclusive culture which includes learning experiences to support your career growth and success.
We are committed to helping you on this journey through our diverse, equitable and inclusive culture which includes learning experiences to support your career growth and success.
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Capture process mappings, trial learnings and align with Process Engineers and CI&TS.
Capture process mappings, trial learnings and align with Process Engineers and CI&TS.
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Improvement of machine productivity and crew efficiency
Improvement of machine productivity and crew efficiency
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Continuous learning and growth opportunities within the PMO-C²Trust service offering.
Continuous learning and growth opportunities within the PMO-C²Trust service offering.
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Continuous learning and development opportunities.
Continuous learning and development opportunities.
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Its activities include machine tools and automation, rail and tram infrastructure, rolling stock and other specialised technical applications.
Its activities include machine tools and automation, rail and tram infrastructure, rolling stock and other specialised technical applications.
What matters most is that you are careful, reliable and comfortable working with your hands – and that you enjoy learning different tasks rather than doing exactly the same thing every day. * Continuous learning and development opportunities.
What matters most is that you are careful, reliable and comfortable working with your hands – and that you enjoy learning different tasks rather than doing exactly the same thing every day. * Continuous learning and development opportunities.
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Extensive learning and development opportunities, with a strong focus on continuous professional growth;
Extensive learning and development opportunities, with a strong focus on continuous professional growth;
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Adjusting and fine-tuning machine settings when necessary.
Adjusting and fine-tuning machine settings when necessary.
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With over 17M learners and 6,000+ organizations learning daily, DataCamp is a market leader in bridging the data and AI skills gap. Whether you're fostering enterprise-wide data and AI literacy, developing core data skills, adopting generative AI, switching data warehouses, or navigating the cloud transition—DataCamp offers tailored learning programs to meet your organization's unique needs. * Contribute to building and improving our platform for learning Data Science and Artificial Intelligence. * Support the development of new learning features and improvements to existing ones, with guidance from experienced engineers.
With over 17M learners and 6,000+ organizations learning daily, DataCamp is a market leader in bridging the data and AI skills gap. Whether you're fostering enterprise-wide data and AI literacy, developing core data skills, adopting generative AI, switching data warehouses, or navigating the cloud transition—DataCamp offers tailored learning programs to meet your organization's unique needs. * Contribute to building and improving our platform for learning Data Science and Artificial Intelligence. * Support the development of new learning features and improvements to existing ones, with guidance from experienced engineers.