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Machine Learning Engineer
Il y a 2 mois
- Lead client-facing engagements, working closely with stakeholders to understand business requirements and propose ML-based ;
- Drive pre-sales activities, including scoping, solution design, and presenting technical proposals to potential clients.
- Provide technical leadership and mentorship to junior team members, guiding them in the development and implementation of ML models and algorithms.
- Design, develop, and implement advanced machine learning models and algorithms for research projects, internal products, and client projects.
- Conduct exploratory data analysis, feature engineering, and model validation to ensure the robustness and accuracy of ML solutions.
- Collaborate with software engineers to integrate ML models into production systems and deploy them at ;
- Stay abreast of the latest advancements in ML techniques and frameworks, and proactively apply them to enhance model performance and efficiency.
- Participate in research initiatives to explore emerging technologies and methodologies, and contribute to the development of innovative solutions within the FabLab.
- Master's degree or in Computer Science, Engineering, Mathematics, or related field.
- 5+ years of hands-on experience in data science, machine learning, or related roles, with a strong track record of client-facing engagements or/and pre-sales activities.
- Strong proficiency in mathematical techniques such as probability, statistics, and linear algebra.
- Expertise in Python programming and experience with ML libraries/frameworks ( , TensorFlow, scikit-learn, PyTorch).Solid understanding of data processing techniques and frameworks ( , pandas, Spark).
- Experience working on research projects and industry applications, with a proven track record of delivering high-quality ML solutions.
- Excellent communication skills with the ability to effectively present technical concepts to clients and stakeholders.
- Leadership experience is preferred but not ;
- Experience with deep learning techniques and frameworks ( , CNNs, LSTMs).
- Knowledge of cloud platforms and services ( , Azure, AWS, Google Cloud).
- Familiarity with big data technologies and distributed computing frameworks.
- Ability to work independently and drive projects from conception to completion.
- Strong problem-solving skills and a passion for exploring innovative solutions to complex ;
- Competitive salary and performance-based health benefits package.
- Flexible work arrangements, including remote work options with regular visits to Nantes (and Paris).
- Professional development and training and inclusive work culture.
- Opportunity to work on cutting-edge projects at the intersection of innovation and technology within the Innovation Business ;
