213 Empregos para Inteligência Artificial - Portugal

Job Title
: Machine Learning Engineer

Location:
Must be based in Portugal or Greece

Job Type
: Full-time

*Job Summary: *
My client are seeking a talented and motivated Machine Learning Engineer to join their team. The ideal candidate will be responsible for designing, building, and deploying machine learning models that solve real-world problems and improve their products and services. You will collaborate with data scientists, engineers, and product teams to turn data into actionable insights and scalable solutions.

*Key Responsibilities: *

• Design, develop, and deploy machine learning models for a variety of applications
• Work with large datasets, perform data preprocessing, and engineer features
• Evaluate model performance using appropriate metrics and iterate on solutions
• Collaborate with cross-functional teams to integrate models into production systems
• Research and implement state-of-the-art ML techniques
• Maintain and monitor model performance over time
• Document processes and code for reproducibility and scalability

*Required Qualifications: *

• 3+ years of hands-on experience in machine learning or data science roles
• Proficiency in Python and ML libraries such as TensorFlow, PyTorch, or Scikit-learn
• Strong understanding of supervised and unsupervised learning techniques
• Experience with data processing tools such as pandas, NumPy, and SQL
• Familiarity with cloud platforms and ML model deployment
• Solid understanding of statistics and probability

Job Title
: Machine Learning Engineer

Location:
Must be based in Portugal or Greece

Job Type
: Full-time

*Required Qualifications: *

• 3+ years of hands-on experience in machine learning or data science roles
• Proficiency in Python and ML libraries such as TensorFlow, PyTorch, or Scikit-learn
• Strong understanding of supervised and unsupervised learning techniques
• Experience with data processing tools such as pandas, NumPy, and SQL
• Familiarity with cloud platforms and ML model deployment
• Solid understanding of statistics and probability

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

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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

A PrimeIT é uma empresa líder com 19 escritórios internacionais, focada em fornecer serviços de IT, Telecomunicações e Engenharia. Impulsionamos o negócio dos nossos parceiros, utilizando a tecnologia mais avançada e os melhores profissionais do setor. Os nossos 18 anos de experiência tornam-nos especialistas em Team Extension, Nearshore, Managed Services e Custom Software. Para isso, contamos atualmente com uma equipa de mais de 2350 profissionais que colaboram em projetos nacionais e internacionais nas mais diversas tecnologias.

LISBOA | PORTO | MADRID | BARCELONA | PARIS | LYON | NANTES | LILLE | AIX-EN-PROVENCE | BORDEAUX | GRENOBLE | TOURS | MILANO | GENÈVE | KATOWICE | WARSZAWA | WROCŁAW | LONDON | SÃO PAULO

O que procuramos?

Experiência em Machine Learning Operations

Regime híbrido Porto ou Lisboa (2x por semana no escritório)

Inglês B2

O que oferecemos?

Integração numa empresa de dimensão internacional que cresce diariamente;

Formação constante nas mais recentes e inovadoras tecnologias - Prime Academy;

Acompanhamento e progressão de carreira.

Envia o teu CV para e junta-te à equipa PrimeIT!

Industry: Mobility Tech | Location: Lisbon, Portugal | Work Model: Hybrid

Start Date: ASAP | Seniority: Mid-Senior Level

Workster is proud to partner with one of the most innovative and fast-growing companies in the global mobility tech industry. With a strong focus on sustainable transportation and intelligent pricing strategies, our client is expanding its tech hub in Lisbon , and we’re now looking for a Machine Learning Engineer to join their advanced data science team.

This is a unique opportunity to work on cutting-edge ML solutions involving technologies at the core of dynamic pricing and optimization strategies used in real-time operations.

Your Key Responsibilities

• Design, build, and maintain production-grade ML systems , particularly focused on reinforcement learning and bandit algorithms
• Collaborate with cross-functional teams (Data Scientists, Engineers, Product Managers, Business Operations) to bring prototypes to life
• Monitor system behavior and model performance through dashboards and custom visualizations
• Proactively identify operational inefficiencies and develop ML-powered solutions to drive automation and performance
• Communicate technical approaches and results to both technical and non-technical audiences

What You Bring

• Solid experience in machine learning
• Proficiency in Python and hands-on experience with frameworks like TensorFlow or PyTorch
• Familiarity with cloud platforms such as AWS, GCP, or Azure
• Experience deploying models in production environments with attention to performance, scalability, and monitoring
• Fluent in English and eager to work in a multicultural, collaborative environment

The Offer

• Attractive base salary (depending on experience)
• 28 vacation days per year + birthday + 1 volunteer day
• Private health insurance
• Access to Coverflex for meal, transport, tech, and wellness benefits
• Learning & development budget (training, conferences, mentorship)
• Hybrid work model , flexible hours, no dress code
• Join a progressive company culture driven by innovation, ownership, and transparency

If you're passionate about applying machine learning to real-world problems, especially in a fast-paced and impactful industry like mobility, this is your chance to join a company where your work directly shapes smarter, more sustainable cities .

Interested? Apply, send your CV here or to

About Us

Planck Technologies is a company specialized in Software Development, dedicated to shaping futures and creating value through innovative IT solutions. By expanding teams and offering a comprehensive range of services—from Software Development and Infrastructure Management to Cybersecurity—we empower clients with all the expertise they need in one place. Inspired by the principles of quantum physics, we push beyond traditional boundaries to deliver customized solutions that redefine the IT landscape and drive shared success.

About the job

• Design and develop generative AI solutions with LLMs, multimodal models, and agent-based systems.
• Build and optimize MLOps pipelines for scalable model training, deployment, and lifecycle management.
• Create agentic workflows and tools for advanced problem-solving.
• Implement CI/CD pipelines with automated testing, validation, and deployment for ML models.
• Collaborate with data scientists, engineers, and product teams to deliver end-to-end ML solutions.
• Ensure best practices in model versioning, testing, monitoring, and reproducibility in production.

What are we looking for?

• More than 3 years of experience in machine learning engineering, with focus on GenAI and MLOps.
• Proven track record in building agentic workflows and agent tools.
• Familiarity with LLMs, prompt engineering, and agent frameworks (e.g., LangChain, LlamaIndex, AutoGen).
• Strong Python skills and experience with ML frameworks (PyTorch, Hugging Face, Scikit Learn, SparkML).
• Knowledge of distributed computing (PySpark, Hadoop).
• Solid understanding of MLOps practices (CI/CD, monitoring, retraining, data versioning).
• Experience with MLOps tools (MLflow, Kubeflow or similar).
• Hands-on experience with cloud (Azure preferred), Docker, and Kubernetes.
• Strong problem-solving, structured thinking, and communication skills.

Location: Hybrid, Maia

We're waiting for you !

We’re looking for the special, unique and amazing YOU!

About the Company - 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 with 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.

Sobre a Empresa: A Sysmatch é uma empresa de Consultoria e Outsourcing de IT com uma vasta gama de competências tecnológicas, resultantes da acumulação de know-how e da experiência dos nossos consultores, permitindo a implementação de soluções adaptadas às necessidades dos nossos clientes, privilegiando a sua robustez e expansão. Com mais de duas décadas no mercado, apresentamo-nos como uma empresa flexível, adaptável, inovadora e virada para o futuro.

Sobre o Cargo: Machine Learning

Regime: Regime Hibrido - 2/3x por semana

Requisitos:

• Licenciatura em Engenharia de Software, Sistemas de Informação, Engenharia Informática ou similar;
• Minimo 5 anos de experiência comprovada em funções similares;
• Proficiência em Python e nas bibliotecas: Tensorflow, Pytorch, transformers;
• Experiência com NLP (Natural Language Processing);
• Experiência de MLOps e no desenvolvimento de modelos;
• Experiência com Vertex Ai e azure ml;

O que te oferecemos:

• Um projeto dinâmico num cliente bem-conceituado a nível Internacional;
• Enquadramento salarial de acordo com a experiência demonstrada;
• Evolução de carreira com intervenção em projetos tecnológicos ambiciosos e inovadores;
• Integração em equipa dinâmica e heterogénea;
• Acompanhamento personalizado a cada consultor;
• Integração nos quadros Sysmatch com acesso a todas as atividades da empresa;
• Serás parte das nossas formações e dos nossos eventos Team Building;
• Uma rede de centenas de parcerias com empresas de inúmeros setores que te oferecem descontos exclusivos (saúde, bem-estar, viagens, gastronomia, cultura, lazer, formação, etc).

Processo de recrutamento, seleção e integração:

Os primeiros contactos serão realizados através de chamada telefónica ou vídeo conferência.

Estamos preparados para assegurar o acompanhamento e a integração dos novos colaboradores e apoiá-los nesta nova fase da sua carreira profissional.