Creative-Jobs in United States

CEVA 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.

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.

DARE TO GROW! 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?

Join the forefront of AI-driven logistics innovation as a MLOps Engineer/Data Scientist at CEVA Logistics, a global leader in supply chain solutions.

YOUR ROLE

As a MLOps Engineer/Data scientist, you will play a pivotal role in CEVA Logistics’ Global IT Data & Digital organization, reporting directly to the Global IT Data & Digital – BI & Advanced Analytics – AI & 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.

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.

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.

This position is open in France (Courbevoie / Marseille), Spain (Madrid / Barcelona)or Poland (Warsaw) or India (Mumbai)

WHAT ARE YOU GOING TO DO?

• Expertise in data science and machine learning techniques with experience in designing, building, and deploying models to solve business challenges.
• 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.
• 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.
• Strong experience with cloud platforms (AWS, Google Cloud, Azure) and modern deployment architectures for AI/ML workloads.
• Advanced proficiency in Python, SQL, and experience with big data technologies to work with large datasets.
• Strong understanding of model governance, model monitoring, and model retraining to ensure AI solutions deliver consistent and ongoing business value.
• Ability to work collaboratively across cross-functional teams to ensure smooth transitions from development to deployment and operationalization.
• Excellent communication skills to explain complex technical concepts to non-technical stakeholders and influence business strategies through AI-driven insights.

WHAT ARE WE LOOKING FOR?

• A minimum of 5 years of professional experience with proven results in AI, Data Science & MLOps
• Master’s degree in computer science, Data Science, Engineering, Mathematics, or a related field.
• Advanced certifications in AI, Data Science, Machine Learning, or MLOps would be plus
• Proven ability to collaborate effectively with cross-functional teams, including business stakeholders, IT, and operations, to translate business needs into technical solutions.
• Strong written and verbal communication skills, with the ability to explain complex technical concepts to non-technical audiences.

Technical Expertise:

Data Science:

• Solid understanding of machine learning algorithms, statistical methods, and predictive modeling.
• Proficiency in Python and libraries such as TensorFlow, Keras, scikit-learn, XGBoost, and PyTorch.

MLOps:

• Hands-on experience implementing MLOps practices for model deployment, automation, and continuous integration/continuous delivery (CI/CD).
• Familiarity with tools like MLflow, Kubeflow, Jenkins, Docker, Kubernetes, and Terraform for automating machine learning pipelines.

Data Integration & Management:

• Proficient in using Snowflake for data integration, storage, and processing at scale.
• Experience with Dataiku for creating and managing end-to-end data science workflows.

Big Data Technologies:

• Familiarity with big data platforms and tools to process and analyze large datasets.

Data Visualization & Reporting:

• Expertise in using Qlik Sense, Streamlite, or other BI, webapp & data visualization tools for developing interactive and insightful dashboards and reports to communicate complex results to non-technical stakeholders.

Model Development & Industrialization:

• Experience in transitioning machine learning models from prototype to production at scale, ensuring robustness, scalability, and reliability in real-world applications.
• Familiarity with best practices in model versioning, testing, monitoring, and retraining to maintain model accuracy and performance over time.

Cloud Platforms:

• Strong experience with cloud-based platforms like AWS, Google Cloud and Azure for deploying, managing, and scaling AI/ML models.

Collaboration & Communication:

• Proven ability to collaborate effectively with cross-functional teams, including business stakeholders, IT, and operations, to translate business needs into technical solutions.
• Strong written and verbal communication skills, with the ability to explain complex technical concepts to non-technical audiences.

Problem Solving & Innovation:

• Strong analytical and problem-solving skills, with a creative mindset for leveraging AI and machine learning to solve business problems and drive innovation.
• Ability to stay up to date with the latest developments in AI, machine learning, and MLOps, and apply cutting-edge techniques to business challenges.

Soft Skills:

• Self-motivated, adaptable, and able to thrive in a fast-paced and dynamic work environment.
• Strong attention to detail with a focus on quality, accuracy, and reliability in all work.
• Effective time management and organizational skills, with the ability to handle multiple projects simultaneously and meet deadlines.

Additional Information:

This position offers the opportunity to work with both existing tools at CEVA and new, modern tools available in the Cloud, leveraging our newly developed CEVA Data Platform. The role requires a proactive individual with a strong commitment to driving data-driven strategies and solutions within the organization.

WHAT DO WE HAVE TO OFFER?

• With a genuine culture of recognition, we want our employees to grow, develop and be part of our journey.
• You have access to the CEVA academy for training.
• You receive healthcare benefits, reimbursement of the transportation card (50%) and meal vouchers for each working day.
• We are a team in every sense, and we support each other and work collaboratively to achieve our goals together.
• It is our goal that you will be compensated for your hard work and commitment, so if you’d like to work for one of the top Logistics providers in the world then let’s work together to help you find your new role.

ABOUT TOMORROW

We value your professional and personal growth. That’s why we share plenty of career opportunities for you to thrive within CEVA. This role can be the first step on your career path with us. You can stay in the same job family, find a new family to grow in (an almost limitless number of options) or find your own path. Join CEVA for a challenging and rewarding career.

As a global organization, and as part of the CMA CGM Group, diversity is critical to our business success; only when we can reflect the cultures, languages, behaviors and local knowledge of our customers, we can succeed. By employing people with different experiences and abilities, we expand our knowledge and increase our creativity and innovation.

Please note: Legitimate CEVA Logistics recruitment processes include communication with candidates through recognized professional networks, such as LinkedIn or via an official company email address: firstname.lastname@cevalogistics.com. We recommend that you do not respond to unsolicited business propositions and/or offers from people with whom you are unfamiliar.