Data and Machine Learning Engineer for Industry

Description

Job Summary: We are seeking a Data Scientist / Machine Learning Engineer for a pivotal role in leveraging data-driven insights and developing ML solutions. Key Highlights: 1. Design, develop, and deploy AI models to solve complex problems 2. Collaborate with cross-functional teams on ML solutions 3. Innovate with generative AI in design and manufacturing processes **Company Description** **INETUM** *We are an international, agile digital consultancy. In the era of post-digital transformation, we strive to enable each of our 28\.000 professionals to continuously renew themselves.* *Each professional can design their career path according to their preferences, co-create with clients to practically build a more positive world, innovate across all 27 countries, and balance their professional career with personal well-being.* *Our 28\.000 digital athletes are proud to have been certified Top Employer Europe 2024* **Job Description** As a Data Scientist / Machine Learning Engineer, you will be a key member of our team, playing a critical role in leveraging data-driven knowledge to enhance our products and services, as well as in developing and implementing cutting-edge ML and deep learning solutions across a variety of use cases. Your responsibilities will span a broad range of applications—from computer vision for object detection and recognition, predictive maintenance, anomaly detection, to pioneering generative AI projects and design optimization. You will work closely with cross-functional teams to design, develop, and deploy AI models that improve our efficiency and innovation. **Requirements** ✅ **Key Responsibilities** * Design, develop, and deploy AI models—including but not limited to computer vision and generative AI—to solve complex problems in the automotive industry. * Collaborate with cross-functional teams to understand business challenges and identify opportunities to leverage machine learning technologies. * Knowledge of Azure ML Studio * Apply generative AI models to innovate in design, R&D, and manufacturing processes. * Optimize existing machine learning models for performance and scalability, leveraging advanced GPU CUDA architectures and parallel computing frameworks for efficient computation. * Design and implement machine learning pipelines for data preprocessing, model training, and performance metric evaluation. * Use the Python programming language and deep learning frameworks such as PyTorch and TensorFlow to implement machine learning solutions. * Apply statistical techniques and machine learning algorithms to solve complex problems in the automotive sector. * Stay up-to-date with the latest advances in data science, machine learning, deep learning, and artificial intelligence, and apply this knowledge to drive continuous innovation within the company. * Develop and maintain documentation for data analysis methodologies, model development, and deployment processes, ensuring reproducibility and compliance with industry standards. **Requirements:** * PhD or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. * Proven experience in machine learning, deep learning, and artificial intelligence. * Knowledge of Azure ML Studio * Excellent understanding of the Python programming language, CUDA, and GPU architectures for parallel computing and model optimization. * Solid knowledge of machine learning architectures and techniques, with particular emphasis on computer vision and generative AI. Image processing and analysis * Proficiency in deep learning frameworks such as PyTorch and TensorFlow. * Experience with parallel computing and optimization for high-performance computing environments. * Ability to collaborate effectively in teams and clearly communicate complex concepts to non-technical stakeholders. * Innovative thinking with passion for tackling complex problems and pushing technological boundaries. * Strong foundation in machine learning architectures, techniques, and frameworks—with special focus on applications in computer vision and generative AI. * Excellent analytical skills, with the ability to interpret complex data and translate findings into strategic insights and practical solutions. * Strong communication skills, capable of conveying technical concepts to non-technical stakeholders. * Minimum of 5 years’ experience in a machine learning engineering role—preferably in the automotive industry or a related sector. * Demonstrated experience in developing and deploying machine learning models for real-world applications. * Self-motivated with passion for continuous learning and professional development. * Experience working in Agile environments and with cloud providers (e.g., Azure) is a plus **Additional Information** **What We Offer:** * Join a large team of professionals driven by curiosity and motivation for development and programming. * Full-time employment with flexible hours under a 100% remote work model. * 22 days of vacation \+ 2 personal days. * Company-provided training to support your continued development and promotion within the career plan designed for you. * Opportunity to attend relevant industry events and conferences. * Permanent contract. * Stability and a positive work environment. * Competitive salary. * Access to corporate group benefits. * Flexible compensation and additional benefits