345 Empregos para Inteligência Artificial - Portugal

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

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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TMC is an international technological engineering company that brings expertise to its clients. All around the world TMC supports them with the realization of their technological challenges.

Based on a unique Employeneurship model, TMC unites scientists, researchers or engineers with passion for all aspects of technology and a fascination for large and smaller technological breakthroughs.

Our Employeneurs work from technical business cells, which are a recognizable reflection of a business organization with a strong focus on Research and Development. Each business cell is not only a high-grade knowledge network, but also a powerful network organization. The cell’s staffs know the market, the techniques and the current issues our clients are confronted with.

Tech Stack

• Python, SQL, GCP (Vertex AI, BigQuery, Cloud Composer, Cloud Storage), LangChain, NLP, LLMs, RAGs, Docker, Kubernetes, Design Patterns

Profile Requirements

• 6+ years of hands-on experience building scalable ML products.
• Strong foundation in ML algorithms, ML pipelines, and data transformations.
• Proficient in Python, SQL, and Design Patterns.
• Experience deploying ML solutions in microservices architecture in production.
• 2+ years of experience with GCP tools in ML workflows (Vertex AI, BigQuery, Cloud Composer, Cloud Storage).
• Proven experience with LangChain ecosystem or other Agentic frameworks, NLP, LLMs, RAGs, and embedding models.

Looking to take the next step in your career in IT and Telecommunications?

Then you’ve come to the right place – welcome to Smart!

Technology, transformation, and innovation are part of our DNA. We are a technology consulting company with over a decade of experience delivering national and international projects in the fields of IT and Telecommunications – and we want to be part of your professional journey.

What do you need to become a SMART professional (Python and Machine Learning)?

• Bachelor's degree in Computer Engineering, Information Systems, or a related field
• Minimum of 3 years of experience in Python and Machine Learning
• Proven proficiency in relevant tools and technologies

What will your responsibilities at SMART include?

(Note: Specific responsibilities were not included in the original text. If available, we can add them here.)

Why become SMART?

• We bring projects to life and make a real impact
• We love what we do and take pride in the quality of our work
• We are straightforward and efficient
• We value our people
• We are a dynamic, trustworthy, and integrity-driven team

Where can you be SMART?

Remote

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

We’re hiring a Machine Learning Engineer to help design and scale a modern ML platform within a centralised engineering team. You’ll play a key role in enabling data science teams to take models from research into production at scale.

What you’ll be doing

• Architecting and operating ML platforms for large-scale AI systems
• Building and maintaining reliable CI/CD pipelines for ML
• Implementing model monitoring, observability, and drift detection
• Orchestrating ML workflows with modern pipeline tools
• Collaborating with Data Engineers and Data Scientists to deliver end-to-end ML solutions

What we’re looking for

• 5+ years’ experience in Machine Learning, Data Engineering, or MLOps roles
• Strong experience deploying ML systems in production
• Skilled with frameworks such as PyTorch, TensorFlow, Scikit-learn
• Hands-on with model tracking and deployment tools (e.g., MLflow, SageMaker, Azure ML)
• Familiar with workflow tools such as Airflow or similar
• Strong background in cloud-native infrastructure and containerisation (Docker, Kubernetes)

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

A Decskill nasceu em 2014 como uma Empresa de Consultoria em Tecnologia da Informação e com a premissa que o seu maior ativo são as suas pessoas. Com o propósito de criar valor através do conhecimento e do talento, a Decskill promove uma cultura de excelência e investe no desenvolvimento e bem-estar dos colaboradores. Com mais de 600 profissionais dedicados e escritórios em Lisboa, Porto, Madrid e Luxemburgo, a Decskill atua hoje em três áreas de negócio:

DECSKILL atua em 3 grandes áreas:

• Decskill Talent: Acreditamos que as nossas pessoas são fundamentais para o nosso sucesso de todos. Através da Decskill Talent, capacitamos e acompanhamos equipas em desafios da transformação digital dos nossos clientes. Colaboramos com os clientes na sua estratégia de transição digital e inovação, garantindo o sucesso do projeto e o crescimento do negócio.

• Decskill Boost: O nosso compromisso com o talento estende-se a novos modelos de desenvolvimento e colaboração. Dotando a nossa equipa com as mais recentes ferramentas, metodologias e melhores práticas, otimizamos o Time-to-Market e entregamos soluções inovadoras que superam expectativas do cliente.

• Decskill Connect: Na Decskill Connect, a equipa Decskill colabora de perto com os clientes para implementar e gerir infraestruturas de tecnologia da informação que geram valor a longo prazo.

O sucesso da Decskill é construído pelo foco nas nossas pessoas e pela capacidade de enfrentar os desafios da transformação digital com agilidade e flexibilidade. Criamos valor não só para os nossos clientes, mas também para todo o nosso ecossistema onde fomentamos uma comunidade digital dedicada ao crescimento dos negócios através da tecnologia.

Procuramos um Machine Learning :

Responsabilidades principais

Desenvolver e supervisionar soluções GenAI, desde a fase de desenvolvimento até à produção

Conceber estratégias de implementação de IA generativa à escala

Integrar GenAI com infraestruturas cloud modernas, assegurando a escalabilidade e segurança

Explorar novas oportunidades de aplicação de IA generativa em diferentes áreas de negócio

Contribuir para a evolução contínua das infraestruturas cloud com foco em inteligência artificial

Desenvolver APIs backend com FastAPI

Garantir a observabilidade e segurança através de ferramentas e boas práticas

Com mais de 8 anos de existência a nível nacional, contamos com mais de 200 colaboradores com o nosso ADN e posicionamo-nos no mercado com 3 ofertas de serviço:

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

Na ADENTIS centramo-nos nas PESSOAS e é este o nosso salário emocional:

• Equilíbrio entre a vida profissional e pessoal;
• Flexibilidade na rotina organizacional;
• Benefícios de saúde para colaboradores e familiares;
• Eventos Team Building;
• Protocolo com mais de 300 parceiros;
• Formação contínua através de um centro profissional de formação e certificação;
• Acompanhamento e feedback contínuo através de um plano personalizado;
• Progressão de carreira através de avaliações objetivas e diretas.

O que procuramos:

• Licenciatura ou Mestrado em Ciência da Computação, Ciência de Dados, Aprendizagem Automática ou área relacionada;
• Mais de 3 anos de experiência prática em desenvolvimento de machine learning e inteligência artificial;
• Forte especialização em Inteligência Artificial Generativa (treino de modelos, afinação e deployment);
• Experiência com LLMs open-source e comerciais;
• Proficiência na implementação de técnicas RAG (Retrieval-Augmented Generation );
• Experiência com bases de dados vetoriais;
• Competências avançadas de programação em Python, com frameworks como TensorFlow, PyTorch e Hugging Face;
• Sólidos conhecimentos de técnicas e arquiteturas de NLP (Natural Language Processing );
• Experiência prática com métodos tradicionais de IA/ML, tais como árvores de decisão, SVMs, clustering e redes neuronais;
• Familiaridade com plataformas cloud (AWS, GCP ou Azure) para deploys de IA/ML;
• Conhecimento de práticas e ferramentas de MLOps;
• Fortes competências de resolução de problemas e capacidade analítica;
• Boas competências de comunicação em público e de trabalho em equipa;
• Fluência em inglês (nível C1 ou superior) é obrigatória;
• Disponibilidade para aprender francês.

Se queres fazer parte de uma empresa People First, junta-te a nós.

We walk with you!