332 Empregos para Inteligência Competitiva - Portugal

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

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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Company

blueOASIS is a young and growing company focusing on developing sustainable solutions for the blue economy. blueOASIS is working on four scopes: numerical analysis for offshore renewables and ships, underwater acoustics, smart ocean modelling and monitoring, and digital twining. Our team is growing and looking for an expert in AI/ML development with solid programming skills to contribute to our mission. 

Role description

We are looking for a Machine Learning (MLOps/DevOps) Engineer to join our team and drive innovation in marine and environmental technologies. Responsibilities include:

• The collection, processing, and augmentation of acoustic datasets, as well as the simulation and modelling of physical environments, and computer vision tasks. 

• esigning, training, and deploying machine learning models using well established machine learning practices for applications in underwater acoustics, physical simulations, and computer vision. 

• Ap lying signal processing techniques (e.g. audio, image) to solve complex challenges.

• C llaboration across teams to integrate ML solutions in real-world deployments for oceanographic and environmental monitoring systems, towards real-time Digital Twins of the Ocean (DTO).

• A sist in implementing robust pipelines for data processing and MLOps to streamline workflows and ensure reproducibility.

• R searching and experimenting with state-of-the-art AI and ML techniques for application in the blue economy.

Expertise needed

• M c or PhD in relevant background (Artificial Intelligence, Physics, Bioacoustics, Computer Science, Mechanical Engineering)

• P oficiency in Python, C/C++ and used to version control systems (Git)

• A le to work on the command-line interface (CLI) for remote computing

• C nfident using data analysis libraries such as Pandas, NumPy, Matplotlib, SciPy, Scikit-learn, etc.

• 3 years of experience developing AI/ML models using frameworks like PyTorch, TensorFlow, or Keras

• I -depth knowledge and proven experience of working with deep learning models

• P oven experience of working with supervised and unsupervised learning techniques

• E perience with robust MLOps and DevOps pipelines.

• S lid understanding of signal processing principles and techniques

• F uency in English, with strong written and verbal communication skills

Added value (some of these skills are a plus)

• E perience with audio signal processing using tools like Librosa and Pydub

• F miliarity with high-performance computing (HPC) environments and Linux systems

• F miliarity with prompt engineering and working with large language models (LLMs)

• P ogramming experience in C/C++ for performance-critical applications

• E perience with Physics-Informed Neural Networks (PINNs) or related techniques

• A strong commitment to Ocean sustainability and Security

General conditions

• W rk in Ericeira office

• 3 days minimum per week in the office, ideally 4/5

• S me flexibility with temporary remote work

• 4 h work week

• 1 year contract with trial period

• 2 days of vacation

• S lary range depending on experience (2000€ up to 3000€ gross per month, 14 salaries per year)

• Food llowance of 10.20Euros per working day (estimated 222Euro net per month, x11 per year)

• P ivate health insurance

• P blic transportation pass for Lisbon area (Navegante Metropolitano)

• T aveling allowance provided for trips between Ericeira and Faial (our offices)

Job Title: AI/ML Consultant (Remote – Portugal)

Contract Duration: 6 Months

Location: Fully Remote (Must be based in Portugal)

Working Hours: Portuguese Time Zone (UK Time)

About the Role:

We are seeking an experienced AI/ML Consultant to design and oversee the architecture of cutting-edge AI and machine learning solutions for a high-profile client. In this role, you will collaborate with data scientists, engineers, and business stakeholders to develop scalable, robust AI systems that drive innovation and align with strategic objectives.

Key Responsibilities:

• Design and architect end-to-end AI/ML solutions , ensuring scalability and integration with existing systems.
• Develop and deploy machine learning, deep learning, NLP, and generative AI models (including LLMs like GPT, Gemini, BERT).
• Lead the implementation of NLP applications (text processing, sentiment analysis, entity recognition, etc.).
• Work with data engineers to optimize data pipelines and ensure high-quality data inputs.
• Provide technical leadership , guiding teams on best practices in model development, testing, and deployment.
• Evaluate and select AI/ML tools, frameworks, and cloud services (AWS/GCP/Azure).
• Stay ahead of emerging AI/ML trends , applying innovative approaches to solve business challenges.
• Communicate complex AI concepts clearly to technical and non-technical stakeholders .

Requirements:

• 8+ years of hands-on AI/ML experience , with expertise in machine learning, deep learning, NLP, and generative AI .
• Strong proficiency in Python, TensorFlow, PyTorch, Keras, and big data tools (Spark, Hadoop, Kafka).
• Experience with cloud platforms (AWS/GCP/Azure) and MLOps practices .
• Deep understanding of LLMs, NLP techniques, and model deployment strategies .
• Ability to lead technical teams and mentor junior members.
• Fluent in English (client-facing role with a global banking team).
• Bachelor’s/Master’s in Computer Science, Data Science, Engineering, or related field .

Nice-to-Have:

• Experience with MLOps tools (CI/CD for ML models).
• Familiarity with data visualization tools (Looker, Tableau, Power BI).

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!

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

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 !

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.