MLOps Engineer / Data Scientist

<p dir="auto"><b>CEVA</b> Logistics provides global supply chain solutions to connect people, products, and providers all around the world. Present in 170+ countries and with more than 110,000 employees spread over 1,500 sites, we are proud to be a Top 5 global 3PL.</p> <p dir="auto"> </p> <p dir="auto">We believe that our employees are the key to our success. We want to engage and empower our diverse, global team to co-create value with our customers through our solutions in contract logistics and air, ocean, ground, and finished vehicle transport. That is why CEVA Logistics offers a dynamic and exceptional work environment that fosters personal growth, innovation, and continuous improvement.</p> <p dir="auto"> </p> <p dir="auto"><b>DARE TO GROW!</b> Join CEVA Logistics, and you will be part of a team that values imagination and continued learning and is committed to excellence in everything we do. Join us in our mission to shape the future of global logistics. As we continue growing at a fast pace, will you “Dare to Grow” with us?</p> <p> </p> <p>Join the forefront of AI-driven logistics innovation as a <strong>MLOps Engineer/Data Scientist </strong>at CEVA Logistics, a global leader in supply chain solutions.   </p> <p> </p> <p><strong><span>YOUR ROLE </span></strong></p> <p> </p> <p> As a <strong>MLOps Engineer/Data scientist</strong>, you will play a pivotal role in CEVA Logistics’ Global IT Data &amp; Digital organization, reporting directly to the Global IT Data &amp; Digital – BI &amp; Advanced Analytics – AI &amp; Data Science Manager. This hybrid role combines the expertise of data science with operational practices focused on the industrialization and deployment of AI and machine learning solutions at scale. </p> <p> </p> <p>You will collaborate with cross-functional teams in IT, Corporate Support Functions, Business Development, and Operations to drive the development and industrialization of machine learning models. Your work will ensure that AI-driven insights and use cases are seamlessly integrated, scalable, and continuously optimized to provide ongoing value to CEVA Logistics and its customers.  </p> <p>This position requires expertise not only in data science and machine learning but also in the processes that turn innovative solutions into robust, enterprise-grade systems. </p> <p> </p> <p>   </p> <p>This position is open in <strong>France (Courbevoie / Marseille)</strong>, <strong>Spain (Madrid / Barcelona) </strong>or<strong> Poland (Warsaw) </strong>or <strong>India (Mumbai)</strong></p> <p> </p> <p><span><strong>WHAT ARE YOU GOING TO DO? </strong></span></p> <p> </p> <ul> <li>Expertise in data science and machine learning techniques with experience in designing, building, and deploying models to solve business challenges. </li> <li>Proficiency in industrializing use cases, focusing on turning proof-of-concept models into full-scale, production-ready AI solutions that are both scalable and sustainable. </li> <li>Hands-on experience with MLOps tools and technologies (such as Kubernetes, Docker, Jenkins, MLflow, TensorFlow, etc.) for automating the deployment, monitoring, and maintenance of machine learning models. </li> <li>Strong experience with cloud platforms (AWS, Google Cloud, Azure) and modern deployment architectures for AI/ML workloads. </li> <li>Advanced proficiency in Python, SQL, and experience with big data technologies to work with large datasets. </li> <li>Strong understanding of model governance, model monitoring, and model retraining to ensure AI solutions deliver consistent and ongoing business value. </li> <li>Ability to work collaboratively across cross-functional teams to ensure smooth transitions from development to deployment and operationalization. </li> <li>Excellent communication skills to explain complex technical concepts to non-technical stakeholders and influence business strategies through AI-driven insights.  </li> </ul> <p>  </p> <p><span><strong>WHAT ARE WE LOOKING FOR?</strong></span> </p> <p> </p> <ul> <li>A minimum of 5 years of professional experience with proven results in AI, Data Science &amp; MLOps </li> <li>Master’s degree in computer science, Data Science, Engineering, Mathematics, or a related field. </li> <li>Advanced certifications in AI, Data Science, Machine Learning, or MLOps would be plus </li> <li>Proven ability to collaborate effectively with cross-functional teams, including business stakeholders, IT, and operations, to translate business needs into technical solutions. </li> <li>Strong written and verbal communication skills, with the ability to explain complex technical concepts to non-technical audiences. </li> </ul> <p><strong>Technical Expertise:</strong> </p> <p><strong>Data Science:  </strong></p> <ul> <li>Solid understanding of machine learning algorithms, statistical methods, and predictive modeling. </li> <li>Proficiency in Python and libraries such as TensorFlow, Keras, scikit-learn, XGBoost, and PyTorch.</li> </ul> <p><str