Data Scientist/ Platform Expert - Senior
Lisbon, PT
Capgemini
A global leader in consulting, technology services and digital transformation, we offer an array of integrated services combining technology with deep sector expertise.SENIOR DATA SCIENTIST / PLATFORM EXPERT (LISBON)
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.
YOUR ROLE
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
YOUR PROFILE
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!
#LI-AS37
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Architecture Azure Big Data CI/CD Confluence Data Analytics Databricks DevOps Engineering Feature engineering GitHub Jira Keras Kubeflow Machine Learning MLFlow ML models MLOps Model training PyTorch R R&D Seldon Spark SQL TensorFlow
Perks/benefits: Career development
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Data Manager jobs
- Open Principal Data Engineer jobs
- Open Lead Data Analyst jobs
- Open Marketing Data Analyst jobs
- Open Power BI Developer jobs
- Open Data Science Manager jobs
- Open Senior Business Intelligence Analyst jobs
- Open MLOps Engineer jobs
- Open Data Scientist II jobs
- Open Business Data Analyst jobs
- Open Product Data Analyst jobs
- Open Junior Data Scientist jobs
- Open Business Intelligence Developer jobs
- Open Data Analytics Engineer jobs
- Open Sr Data Engineer jobs
- Open Data Analyst Intern jobs
- Open Senior Data Architect jobs
- Open Principal Data Scientist jobs
- Open Sr. Data Scientist jobs
- Open Research Scientist jobs
- Open Big Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open Azure Data Engineer jobs
- Open Data Quality Analyst jobs
- Open Junior Data Engineer jobs
- Open GCP-related jobs
- Open Data quality-related jobs
- Open Java-related jobs
- Open ML models-related jobs
- Open Business Intelligence-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open PhD-related jobs
- Open Deep Learning-related jobs
- Open Data visualization-related jobs
- Open NLP-related jobs
- Open PyTorch-related jobs
- Open Finance-related jobs
- Open TensorFlow-related jobs
- Open APIs-related jobs
- Open LLMs-related jobs
- Open Consulting-related jobs
- Open Generative AI-related jobs
- Open CI/CD-related jobs
- Open Snowflake-related jobs
- Open Hadoop-related jobs
- Open Kubernetes-related jobs
- Open Data governance-related jobs
- Open Databricks-related jobs
- Open Data warehouse-related jobs