Machine Learning Engineer

il y a 1 semaine

Nantes, France Inetum Temps plein
Job DescriptionAs a Senior Data Scientist / Machine Learning Engineer at Inetum's FabLab, you will play a strategic role in leading the development and implementation of ML models and data-driven solutions. Leveraging your extensive experience, you will drive client-facing engagements, participate in pre-sales activities, and provide technical leadership to junior team members. Responsibilities:
  • 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.
Qualifications
  • 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 ;
Preferred Qualifications:
  • 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 ;
Additional InformationBenefits:
  • 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 ;
How to Apply: If you are a seasoned Data Scientist / ML Engineer with a passion for client-facing engagements, pre-sales activities, and technical leadership, we want to hear from you Please submit your resume and a cover letter outlining your relevant experience and why you are interested in joining Inetum as a Senior Data Scientist / ML ;We look forward to reviewing your application and discussing how you can contribute to our team.#LI-Hybrid

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