18 melhores vagas de platform engineer para 2870 montijo (Contratando agora!)

Data Scientist (Generative AI)
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- Modelo Híbrido
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saas.group —Lisboa
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Há 7 dias
Brands Event Coordinator
Tether Operations Limited —Lisboa
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- Graduação
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- Modelo Híbrido
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Health Insurance Subject Matter Expert (Fully Remote)
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Head of Marketing
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Oportunidades de carreira: Data Engineer | Lisboa (4236)
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Data Scientist (Generative AI)

Capgemini -
Lisboa

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CAPGEMINI ENGINEERING

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

Design and develop interactive search experiences powered by Generative AI for leading customers in different industries.
Implement and optimize Generative AI solutions on cloud platforms (e.g., Google Cloud, AWS, Azure) or on-premises infrastructure, depending on project needs. Collaborate with cross-functional teams to create and deliver AI-driven products and services.
Develop, version, and execute Python code to build and refine AI models. Deploy and manage AI models in various environments, ensuring robust performance and scalability.

YOUR PROFILE

At least 3 years of experience in AI development, with a focus on Generative AI.
Proficient in Python programming with a solid understanding of AI/ML frameworks.
Experience with cloud platforms (e.g. GCP, AWS, Azure) or on-premises AI deployment, including components like storage, compute engines, and AI services such as Vertex AI, SageMaker, Azure AI.
Hands-on experience with Gen AI models and tools, such as text generation APIs, chatbots, and enterprise search solutions.
Familiarity with vector data stores, custom embeddings, and deriving insights from embeddings (a plus).
Basic understanding of data warehousing and analytics tools, such as BigQuery, Amazon Redshift, or Snowflake.
Strong communication skills and a proven ability to work effectively in a team environment.
Fluency in Portuguese and English.

WHAT YOU’LL LOVE ABOUT WORKING HERE

Join a multicultural and inclusive team environment.
Enjoy a supportive atmosphere promoting work life balance.
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.
Access valuable training and certifications in cutting edge technologies.
Engage in exciting national and international projects.
Health and life insurance.
Referral program with bonuses for talent recommendations.
Great office locations.

Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology, and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations.

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platform engineer vagas para: 2870 montijo

Data Scientist (Generative AI)

Cloud Engineer (Azure & GCP)

Acceleration, Transformation & Project Management Consultant

Service Desk Agent (EU)

Product Marketing Manager

Camunda Architect

Brands Event Coordinator

Camunda Architect

HRIS Analyst II

Growth Marketing Architect (f/m/d)

Health Insurance Subject Matter Expert (Fully Remote)

Security Architect

Growth Marketing Manager (Campaign Operations)

Head of Marketing

Senior Data Engineer | Cloud & Data Platforms

Growth Marketing Manager (Organic Growth)

Business Architect, AI Studio (X3)

Oportunidades de carreira: Data Engineer | Lisboa (4236)

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