32 Empregos para Inteligência De Dados - Portugal

With just over 7 years of experience in the Portuguese market, we share our DNA with more than 200 workers and position our offer according to 3 lines of service:

• Strategy (Outsourcing, NeXel, Team as a Service, Tech Academies);
• R&D (Bootcamps, POC, Tech Lab);
• Nearshore.

In ADENTIS, we focus on PEOPLE. This is our emotional salary:

• Great Work-Life balance;
• Very flexible organizational routine;
• Health benefits (for you and your family);
• Team Building activities;
• Over 300 protocols to offer you great discounts in different areas;
• Continuous professional development sponsored by our Training and Certification Department;
• Regular feedback on your performance through a personalized plan;
• Comprehensive career plan and progression involving assertive performance reviews.

Responsibilities:

• Develop and implement machine learning models tailored to CRM and platform contexts.
• Design and deploy models for retention use cases, anomaly detection, regression analysis, and other predictive analytics tasks.
• Create and manage automated data pipelines for efficient data processing and model deployment.
• Ensure seamless integration of machine learning models into existing systems and workflows.
• Monitor data flows to ensure the quality, consistency, and reliability of data used for machine learning models.
• Troubleshoot and resolve data-related issues promptly to maintain smooth operations.
• Utilize Azure Databricks for data processing, model training, and deployment.
• Optimize the use of Databricks resources to achieve efficient and cost-effective machine learning solutions.
• Design and maintain the infrastructure required for machine learning projects, ensuring scalability and performance.
• Collaborate with IT and DevOps teams to manage cloud resources and deployment environments.

You must have:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.

• Proven experience as a Machine Learning Engineer or similar role, with a focus on CRM and platform-based solutions.

• Strong proficiency in developing machine learning models, particularly for retention use cases, anomaly detection, and regression analysis.

• Experience with pipeline automation and data flow monitoring.

• Hands-on experience with Azure Databricks for data processing and machine learning tasks.

• Familiarity with cloud infrastructure management, preferably within the Azure ecosystem.

• Proficiency in programming languages such as Python, R, or Scala, and experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-Learn).

• Strong analytical and problem-solving skills, with the ability to work on complex data-driven projects.

• Excellent communication and collaboration skills, with the ability to work effectively in a team environment.

• Familiarity with DevOps practices and tools is a plus.

• Experience with CRM platforms and customer data analytics is an advantage.

• European Union Citizenship or Portuguese Working Visa / Portuguese Residency.

• Availability to go to the office, twice a week.

If you want to be part of a real People First organization, join us! Send your CV to

As a Machine Learning Researcher specializing in STT, NMT, and TTS systems, you will independently and collaboratively conduct research and development of novel models in these domains under the guidance of the Head of R&D. This role requires excellent technical skills and the ability to bring innovative AI solutions from research to robust, production-grade implementations.

RESPONSIBILITIES

• Conduct research and development of novel models in STT, NMT, and TTS, independently or in collaboration with other team members.
• Build and iterate on research prototypes, conducting experiments and evaluations.
• Transition promising research into robust, production-grade implementations.
• Work with cross-functional teams including product, engineering, and design to bring AI solutions to life.
• Stay up-to-date with the latest research in speech and language AI and adapt state-of-the-art ideas to our needs.

REQUIRED EXPERIENCE AND QUALIFICATIONS

• Master’s or Ph.D. in Computer Science, Machine Learning, Computational Linguistics, or a related field OR equivalent industry experience in applied AI research.
• Strong proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow).
• Solid understanding of machine learning and deep learning fundamentals.
• Hands-on experience with at least one of:

> Speech recognition models (e.g., experience with open-source toolkits such as Kaldi, DeepSpeech, or ESPnet, or designing and implementing a custom STT system).

> Neural Machine Translation with Transformer-based architectures (e.g., proficiency in frameworks like OpenNMT, Fairseq, or MarianNMT, or hands-on experience developing an end-to-end NMT system).

> Text-to-Speech systems (e.g., familiarity with models like Tacotron, FastSpeech, or WaveGlow, or building a complete TTS pipeline).

> Experience with training, fine-tuning, or adapting large language models such as LLaMA, GPT, Mixtral.

• Familiarity with handling large datasets and conducting rigorous evaluation of models.
• Strong software engineering skills, including experience with version control, modular code design, and working with complex codebases.

PREFERRED QUALIFICATIONS

• Experience deploying ML models to production environments (cloud or on-prem).
• Proficiency in C# and .NET (our broader platform is built in .NET technologies).
• Familiarity with Azure, AWS or other cloud platforms.
• Basic understanding of front-end technologies (e.g., HTML, JavaScript, and CSS) for prototyping demo interfaces.

DESIRED SKILLS AND EXPERIENCE

• Passionate about the intersection of AI research and real-world applications.
• Enjoy experimenting, learning, and iterating with limited specs or guidance.
• Clear and proactive communication with peers and stakeholders.
• Initiative and ownership, especially when navigating ambiguity.
• Openness to working with unfamiliar tools or domains when needed

By applying, I confirm I have read and accept TransPerfect's Privacy Policy:

With just over 7 years of experience in the Portuguese market, we share our DNA with more than 200 workers and position our offer according to 3 lines of service:

• Strategy (Outsourcing, NeXel, Team as a Service, Tech Academies);
• R&D (Bootcamps, POC, Tech Lab);
• Nearshore.

In ADENTIS, we focus on PEOPLE. This is our emotional salary:

• Great Work-Life balance;
• Very flexible organizational routine;
• Health benefits (for you and your family);
• Team Building activities;
• Over 300 protocols to offer you great discounts in different areas;
• Continuous professional development sponsored by our Training and Certification Department;
• Regular feedback on your performance through a personalized plan;
• Comprehensive career plan and progression involving assertive performance reviews.

Responsibilities:

• Develop and implement machine learning models tailored to CRM and platform contexts.
• Design and deploy models for retention use cases, anomaly detection, regression analysis, and other predictive analytics tasks.
• Create and manage automated data pipelines for efficient data processing and model deployment.
• Ensure seamless integration of machine learning models into existing systems and workflows.
• Monitor data flows to ensure the quality, consistency, and reliability of data used for machine learning models.
• Troubleshoot and resolve data-related issues promptly to maintain smooth operations.
• Utilize Azure Databricks for data processing, model training, and deployment.
• Optimize the use of Databricks resources to achieve efficient and cost-effective machine learning solutions.
• Design and maintain the infrastructure required for machine learning projects, ensuring scalability and performance.
• Collaborate with IT and DevOps teams to manage cloud resources and deployment environments.

You must have:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.

• Proven experience as a Machine Learning Engineer or similar role, with a focus on CRM and platform-based solutions.

• Strong proficiency in developing machine learning models, particularly for retention use cases, anomaly detection, and regression analysis.

• Experience with pipeline automation and data flow monitoring.

• Hands-on experience with Azure Databricks for data processing and machine learning tasks.

• Familiarity with cloud infrastructure management, preferably within the Azure ecosystem.

• Proficiency in programming languages such as Python, R, or Scala, and experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-Learn).

• Strong analytical and problem-solving skills, with the ability to work on complex data-driven projects.

• Excellent communication and collaboration skills, with the ability to work effectively in a team environment.

• Familiarity with DevOps practices and tools is a plus.

• Experience with CRM platforms and customer data analytics is an advantage.

• European Union Citizenship or Portuguese Working Visa / Portuguese Residency.

• Availability to go to the office, twice a week.

If you want to be part of a real People First organization, join us! Send your CV to

As a Machine Learning Researcher specializing in STT, NMT, and TTS systems, you will independently and collaboratively conduct research and development of novel models in these domains under the guidance of the Head of R&D. This role requires excellent technical skills and the ability to bring innovative AI solutions from research to robust, production-grade implementations.

RESPONSIBILITIES

• Conduct research and development of novel models in STT, NMT, and TTS, independently or in collaboration with other team members.
• Build and iterate on research prototypes, conducting experiments and evaluations.
• Transition promising research into robust, production-grade implementations.
• Work with cross-functional teams including product, engineering, and design to bring AI solutions to life.
• Stay up-to-date with the latest research in speech and language AI and adapt state-of-the-art ideas to our needs.

REQUIRED EXPERIENCE AND QUALIFICATIONS

• Master’s or Ph.D. in Computer Science, Machine Learning, Computational Linguistics, or a related field OR equivalent industry experience in applied AI research.
• Strong proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow).
• Solid understanding of machine learning and deep learning fundamentals.
• Hands-on experience with at least one of:

> Speech recognition models (e.g., experience with open-source toolkits such as Kaldi, DeepSpeech, or ESPnet, or designing and implementing a custom STT system).

> Neural Machine Translation with Transformer-based architectures (e.g., proficiency in frameworks like OpenNMT, Fairseq, or MarianNMT, or hands-on experience developing an end-to-end NMT system).

> Text-to-Speech systems (e.g., familiarity with models like Tacotron, FastSpeech, or WaveGlow, or building a complete TTS pipeline).

> Experience with training, fine-tuning, or adapting large language models such as LLaMA, GPT, Mixtral.

• Familiarity with handling large datasets and conducting rigorous evaluation of models.
• Strong software engineering skills, including experience with version control, modular code design, and working with complex codebases.

PREFERRED QUALIFICATIONS

• Experience deploying ML models to production environments (cloud or on-prem).
• Proficiency in C# and .NET (our broader platform is built in .NET technologies).
• Familiarity with Azure, AWS or other cloud platforms.
• Basic understanding of front-end technologies (e.g., HTML, JavaScript, and CSS) for prototyping demo interfaces.

DESIRED SKILLS AND EXPERIENCE

• Passionate about the intersection of AI research and real-world applications.
• Enjoy experimenting, learning, and iterating with limited specs or guidance.
• Clear and proactive communication with peers and stakeholders.
• Initiative and ownership, especially when navigating ambiguity.
• Openness to working with unfamiliar tools or domains when needed

By applying, I confirm I have read and accept TransPerfect's Privacy Policy:

Dotmoovs
is a pioneering startup that combines advanced computer vision algorithms with a global competitive environment for sports. The platform leverages state-of-the-art artificial intelligence (AI) to analyze videos of users performing different exercises in real-time.

This AI-based system functions as a virtual referee, assessing the performance of participants.

The core concept of Dotmoovs revolves around bridging the gap between physical and geographical limitations in sports. It provides a unique solution for amateur athletes and sports enthusiasts to engage in competitive activities, regardless of their location. Users can challenge friends or similarly skilled players from anywhere in the world in their favorite sports.

Locations Supported

This role is on site, and requires you to spend your time in our office in Braga.

About The Opportunity:

Imagine being part of a cutting-edge team where your work not only contributes to the next big technological advancement but also shapes the future of how we interact with sports. At Dotmoovs, you're not just an engineer; you're a trailblazer at the forefront of an exciting, evolving landscape. As a Machine Learning Engineer in our innovative team, you will play a crucial role in developing and improving our AI-driven system, enabling it to analyze and interpret user performance through video in real-time. Your success in this role will be marked by your ability to deliver scalable, robust, and efficient machine learning solutions. You will be a key player in advancing the machine learning models that power our products, contributing significantly to the technological advancement of our platform.

What we offer:

• Competitive Salary + bonus (adjusted according to experience and achievements)
• Flexible and fast-paced environment
• Team events in very cool locations
• Shaping the future of sports
• Other agreed tailored benefits to your needs

Responsibilities:

• Technical Research and Model Development:
  Proactively research and implement cutting-edge machine learning models, especially in the areas of computer vision and deep learning, contributing to continuous improvements in our AI-driven solutions.
• Data Pipeline and Model Training:
  Design and build scalable data pipelines, manage training and testing of models, and ensure models are optimized for real-time performance.
• End-to-End Machine Learning System Management:
  Oversee the specification, development, training, deployment, and continuous monitoring of machine learning models to ensure they are performant and reliable in production environments.
• Code and Model Quality Assurance:
  Conduct thorough model evaluations and code reviews, sharing best practices with the team to maintain high-quality standards.
• Collaborative Teamwork:
  Work closely with product managers, data scientists, and engineers to integrate AI solutions into the broader system, ensuring seamless and reliable functionality.
• Performance and Security:
  Focus on optimizing model performance, minimizing latency, and ensuring adherence to security standards in handling user data.
• Innovation and Continuous Learning:
  Stay updated on emerging trends in machine learning, AI, and related technologies, and apply innovative solutions to enhance our AI capabilities and development workflows.

Minimum Qualifications:

• Education Background:
  Master's degree in IT Engineering, preferably from leading Portuguese universities (e.g., University of Minho, FEUP, IST).
• Professional Experience:
  1-3 years of experience working with machine learning algorithms, with a particular focus on computer vision and deep learning techniques.
• Technical Expertise:
  Strong experience with Python and popular machine learning frameworks such as TensorFlow, PyTorch, or JAX.
• Cloud Experience:
  Familiarity with cloud platforms, preferably Google Cloud Platform (GCP), for deploying and scaling AI models.
• Language Proficiency:
  Fluent in Portuguese and English.

Nice-to-have:

• Contributions to public GitHub repositories with relevant projects.
• Hands-on experience with video processing and real-time model deployment.
• Proactive and eager to solve complex challenges within a fast-paced environment.

How to Apply:

Please fill out the form at:

Join us in shaping the future of sports and gaming through innovative solutions.

About Uphold
Uphold is a financial technology company that believes on-chain services are the future of finance. It provides modern infrastructure for on-chain payments, banking and investments. Offering Consumer Services, Business Services and Institutional Trading, Uphold makes pioneering financial services easy and trusted for millions of customers in more than 140 countries.

Uphold strips away the complexity and lack of transparency to open up Web3 finance for everyone.

To learn more about Uphold, please visit

The Opportunity
Uphold is looking for a Machine Learning Engineer to join our Data team. This is an incredibly exciting opportunity where you'll get to join a team of engineers, scientists, and analysts who are passionate about data and technology with a great sense of collaboration and responsibility.

As a key member of our dynamic Data Team, you will play a crucial role in the development, deployment and maintenance of machine learning (ML) systems in production. You'll be working on a wide-range of use-cases including unsupervised and supervised machine learning and LLM-based solutions, from retrieval augmented generation (RAG) systems to agentic workflows. You will ensure the robustness and scalability of such systems, critical to support our product and/or internal processes.

At Uphold, you will be able to work in a very fertile environment to bring your ideas to life, while integrated in a fast-paced industry.

What You'll Be Doing Primarily

• Partner with Data Scientists and Data Engineers to deploy and maintain ML systems in production environments;
• Design and implement robust data pipelines and ML workflows using Python, SQL, Snowflake and AWS services;
• Build and maintain reusable components including feature stores, model registries, and experiment tracking systems;
• Implement best practices for monitoring model performance, data drift, and system health in production;
• Develop continuous integration and delivery (CI/CD) workflows for ML using tools like GitHub Actions or similar;
• Design and deploy LLM-based solutions such as retrieval-augmented generation (RAG) systems and intelligent AI agents using LLM frameworks such as LangChain, AutoGen or CrewAI;
• Collaborate with Product Managers and fellow Engineers to bring ML systems to life as product features;

Required Qualifications

• Bachelor's degree in a quantitative field such as Computer Science, Software Engineering, Data Science or related field.
• At least 2 to 3 years of professional experience working with ML in production environments.
• Good knowledge of ML algorithms, data pipelines and engineering best practices.
• Experience using cloud-based architectures for deploying ML solutions.
• Familiarity with experiment tracking and model registry tools such as MLflow or SageMaker.
• Good understanding of Large Language Models and generative AI foundations.
• Good knowledge of the software engineering best practices.
• Strong knowledge of Python and SQL.
• Experience working with data warehousing solutions and leveraging models in a cloud-based environment.
• Ability to lead small projects from conception and design through implementation to delivery and communication.
• Creativity, curiosity, and a growth mindset.
• Team player with the ability to work within cross-functional teams.
• Fluent written and oral English skills.

Bonus If You Have

• Advanced degree preferred.
• Exposure to MLOps tools (e.g. Kedro, MLflow, feast, Kubeflow, Sagemaker).
• Exposure to production infrastructure and best DevOps practices: monitoring, alerting, CI/CD, container-orchestrating platforms, and infrastructure-as-code tools (e.g. Kubernetes, Terraform).
• Experience working with database systems such as PostgreSQL and Snowflake.
• Open-source project contributions of any kind, such as tools developed to solve specific problems you've had or fixing issues on existing projects.

Importantly, if you're looking for a senior role with us, you will have achieved many of the things above while also providing mentorship to others, and have engaged in public speaking opportunities.

What We Have To Offer You

• An amazing work environment in a company that continues to grow, driven by extraordinary and passionate people who keep innovating and challenging more each day.
• An international team, in a cutting-edge field, working on the most fascinating projects.
• Growth and career opportunities, and the chance to be proactive and creative.
• A flexible and enthusiastic work environment that offers you snacks, a lot of coffee, and other great benefits.
• Open and transparent culture - we get together on a weekly basis to share updates, and strategic plans, and engage with each other informally over food and drinks.
• Interesting events that keep you connected with the team and celebrate our success.

Be part of a great company that is revolutionizing financial services. Apply now

EEOC Employer

We're proud to be an Equal Opportunity Employer and we celebrate our employees' differences, including race, color, religion, gender identity, national origin, age, military service eligibility, veteran status, sexual orientation, marital status, disability, and any other protected classes. Difference makes us better.

WELCOME TO OLX
At OLX, we work together to build a more sustainable world through trade
.

We make it safe, smart, and convenient to buy and sell cars, find housing, get jobs, buy and sell household goods, and more. Our colleagues around the world help to serve millions of people around the world every month, through its well-loved consumer brands including OLX, Otodom , Property24.

Join OLX and see how far you can go
.

JOIN OUR ML TEAM
We invite you to join a team that works with OLX, Automotive platforms (Otomoto, Standvirtual), and Real Estate platforms (Otodom, Storia) across the entire EU region. A team that breaks through walls and builds cross-functional connections with everyone around. A team where a common mission and goals matter more than reporting lines. We build on each other, asking for help and support when needed, and we proactively support others.

In your day-to-day routine, you will have the opportunity to work on supervised models for behavioral classification, deep learning models for image classification, regression models for value estimation, as well as NLP and LMM-based models for various applications. All using Python and the AWS cloud. You will be exposed to key stakeholders, have direct contact with internal customers. You will have carte blanche to experiment and test things. And most importantly, you will also witness how your work impacts the day-to-day business of our customers.

What You Will Be Doing

• Work in the Data Science team focusing on the Motors vertical.
• You will help build the infrastructure needed to create agents as well as models, refine them for optimal performance, test them, and eventually deploy them to production.
• You will see your work in action and measure the true impact of your models on our platform.
• You will maintain strong relationships with stakeholders. This involves asking numerous questions to business people and translating their requirements into achievable projects. It also means collaborating with other teams, like infrastructure and data engineering, to get things done in an efficient and elegant manner.
• Partner with Engineering and Product to deliver solutions (customer-facing and platforms) to our customers (internal and end customers).
• Work with Product Analytics to track the KPIs of different ML use cases and measure the impact on our customers.
• Collaborate with the Experimentation team to integrate the KPIs and their proxies into the Experimentation (A/B testing) platform.
• You will work in multi-functional teams, in a diverse, multinational environment, filled with people from Portugal, Poland, Germany and Romania.
• Most importantly, you will have fun working with us :)

Who We Are Looking For

• At least 2 to 3 years of professional experience as an MLE
• Strong knowledge of GenAI and LLMs (you are able to deploy multi-agent systems as well and tracking their performance in Production)
• Good knowledge of the best engineering practices
• Experience with building data pipelines leveraging Airflow and AWS Batch Jobs
• Experience with serving machine learning models at scale
• Excellent knowledge of Python
• Experience in using machine learning frameworks in production settings: Scikit-Learn, Pytorch and Transformers
• Experience using cloud-based architectures for deploying machine learning solutions
• Proficient in English with excellent written and oral communication skills

Nice To Have

• Exposure to MLOps tools
• Exposure to production infrastructure and best DevOps practices: monitoring, alerting, CI/CD, container-orchestrating platforms, and infrastructure-as-code tools (Grafana, Prometheus, Kubernetes, Terraform
• Understanding of A/B testing and experimentation

Our Hiring Process

• Recruiter Interview
• Hiring Manager Interview
• Live Coding Interview
• System Design Interview

Our Benefits

• Permanent contract
• Salary + annual bonus up to 15% of your annual gross salary
• Work with and impact all OLX websites around the world
• Train and conference budget and free access to Udemy courses
• Health insurance and life insurance
• MacBook Pro or Windows Dell along with necessary accessories to make your work comfortable
• 100% remote work (and the possibility to work from our office in Lisboa)

Diversity, Equity and Inclusion at OLX
OLX values diversity and welcomes applicants of all races, ethnicities, disabilities, ages, genders, sexual orientations, religions, backgrounds, and experiences to apply. If this role excites you, we encourage you to apply, even if you don't meet all the requirements - you may be just the right fit for this or other opportunities with us

OLX will process your personal data to assess your fit for the applied position. You may optionally consent to store your data for up to 12 months after the application process for consideration in future OLX roles. For more details on how your application data will be processed please check our
Privacy Statement
.

Sysmatch
is an IT Consultancy and Outsourcing Company with a wide range of technological skills, resulting from the accumulation of know-how and the experience of our consultants, allowing the implementation of solutions adapted to the needs of our clients, privileging their robustness and scalability. More than two decades in the IT market, we present ourselves as a flexible, adaptable, innovative and forward-looking Company.

About the Role: Machine Learning Specialist

Required Skills:

• Minimum of
  5 years of experience
  wit
  h Python and libraries such as TensorFlow, PyTorch, and Transformers (Hugging Face)
  .
• Proven experience in
  Natural Language Processing (NLP)
  , including tasks such as text classification, sentiment analysis, and language generation.
• Strong knowledge of MLOps
  and the complete lifecycle of machine learning models.
• Hands-on experience with
  Vertex AI on Google Cloud and Azure ML on Microsoft Azure.

What we offer:

• A dynamic project in a well-regarded client at an international level;
• Salary classification according to the experience shown;
• Career development with intervention in ambitious and innovative technological projects;
• Good working environment with young and dynamic teams;
• Personalized follow-up to each consultant;
• Integration into Sysmatch staff with access to all company activities;
• You will be part of our trainings and Team Building events;
• A network of hundreds of partnerships with companies in countless sectors that offer you exclusive discounts (health, wellness, travel, gastronomy, culture, leisure, training, etc).

Recruitment, selection and integration process:

The first contacts will be made by phone call or video call.

We are prepared to ensure the monitoring and integration of new employees and support them in this new phase of their professional career.

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

• The position involves developing and deploying cloud-based computer vision systems that operate reliably at scale. Responsibilities include engineering both real-time and batch vision solutions — from training deep learning models to serving them through scalable cloud APIs.
• The role focuses on transforming AI models into production-ready services for on-premises and cloud environments, ensuring performance, security, and cost efficiency, and enabling applications in industries such as manufacturing, security, healthcare, and retail.
• Design, train, and optimize computer vision models for production use cases (object detection, image segmentation, OCR, video analytics, etc.).
• Package and deploy AI models to cloud environments for scalable, high-availability services.
• Implement pipelines for data ingestion, preprocessing, and inference in the cloud.
• Work closely with product and engineering teams to integrate AI features into customer-facing applications.

YOUR PROFILE

• Bachelor's or Master's in Computer Science, Engineering, or related field.
• Strong skills in Python and deep learning frameworks (PyTorch, TensorFlow).
• Hands-on experience with at least one cloud platform (AWS Sagemaker, Azure Machine Learning, Google Vertex AI, etc.).
• Experience building and deploying ML models using Docker, Kubernetes, or serverless services.
• Solid understanding of computer vision algorithms and real-world performance challenges.
• Familiarity with traditional machine learning methods (SVMs, decision trees, clustering, feature engineering).
• At least 5 years of experience in a similar role involving computer vision and AI/ML deployment.
• Experience with streaming/video analytics in the cloud.
• Knowledge of CI/CD for ML (MLOps).
• Exposure to Generative AI techniques and concepts.

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