Capgemini Engineering

Data Scientist/ Platform Expert - Senior

Job description


At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.


Proficiency in Azure Machine Learning: The candidate should be proficient with Azure Machine Learning platform, including creating and managing workspaces, experiments, compute resources, and datasets. Experience with Azure Databricks: The candidate should have experience with Azure Databricks for big data analytics. This includes knowledge of creating Databricks workspaces, clusters, notebooks, jobs, and tables. Knowledge of Machine Learning and Data Science: A strong understanding of machine learning algorithms and data science concepts is necessary. This includes data cleaning, preprocessing, feature engineering, model training, and evaluation. Experience with Spark: Experience with Spark for big data processing is important. This includes knowledge of Spark SQL, DataFrames, and MLlib.

Familiarity with Azure Services: The candidate should be familiar with other Azure services that can be integrated with Azure Machine Learning and Databricks, such as Azure Data Factory, Azure Synapse Analytics, Azure Storage, etc. Cloud Computing: Deep understanding of cloud computing concepts, including virtual machines, containers, serverless computing, and cloud storage. Experience with Machine Learning Frameworks: Familiarity with frameworks like TensorFlow, PyTorch, Keras, etc., is important. Familiarity with MLOps Tools: Experience with tools like Kubeflow, MLflow, TFX, Seldon, etc., that help in the deployment, monitoring, and maintenance of machine learning models. Knowledge of DevOps Practices: Understanding of DevOps practices like CI/CD is important. Familiarity with GitHub and Azure DevOps would be a plus.

Soft Skills: Good communication skills to explain complex concepts to non-technical stakeholders, problem-solving skills, and ability to work in a team are also important.

The Following Deliverables Should Be Considered For This Position

Technical guidelines

Code Reviews

Reference architectures

Development blueprints.

Solution analysis documentation

Technical architecture solutions documentation

Decision support material


Up to 10 years' experience in the role of platform expert

Degree in software engineering or computer engineering or similar

Good written and verbal communication skills (Portuguese and English)

Ability to work in a collaborative environment and with global teams

Ability to analyse critically and focus on problem solving

Commitment to quality deliveries

Knowledge of Agile methodology, JIRA and Confluence (valued)

Project experience (valued)

Knowledge of languages (written and oral): English (required), Portuguese (valued), Spanish (valued)

Advanced knowledge of the technology in question

Experience in designing/architecting solutions for the technology/platform in question

Certifications in the technologies / platforms referred previously

What You’ll Love About Working Here

  • Join a multicultural and inclusive team environment.
  • Enjoy a supportive atmosphere promoting work-life balance.
  • Engage in exciting national and international projects.
  • Hybrid work.
  • Your career growth is central to our mission. Our array of career growth programs and diverse professionals are crafted to support you in exploring a world of opportunities.
  • Training and certifications programs.
  • Health and life insurance.
  • Referral program with bonuses for talent recommendations.
  • Great office locations.

About Capgemini

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Apply now!

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