343 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

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

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

Your connection with Aubay starts in the following lines:

Aubay Portugal is a multinational French company, in Portugal since 2007. We have offices in Lisbon and Oporto and we are a specialized consultant in Management, Implementation, Development and Maintenance of Information Systems. We have more than 150 active partners and we operate in sectors such as banking, insurance, telecommunications, services, energy and transports.

What are you going to do?

• Develop and maintain solutions in Snowflake , leveraging SQLScript and DBT for data transformation and modeling;
• Design and build PowerBI dashboards and reports to support business insights and decision-making;
• Gather, discuss, and analyze business requirements , translating them into effective technical solutions;
• Collaborate with stakeholders across multiple projects, ensuring alignment with business needs and timelines;
• Work within an Agile framework and coordinate with distributed teams across different geographies;
• Contribute to continuous improvement by applying critical thinking, problem-solving skills, and a value-generation mindset ;
• Prepare and deliver presentations and documentation in a customer-facing context, ensuring clear communication of outcomes.

What are we looking for?

• Minimum 2 years of experience as a Snowflake Developer , with strong SQLScript expertise and willingness to learn DBT;
• Minimum 2 years of experience as a PowerBI Analyst ;
• Strong knowledge of SQL and familiarity with DBT;
• Technical understanding of SAP modules (FI, SD, MM ) is a plus;
• Experience working in consulting environments with a focus on value creation;
• Proven ability to manage multiple projects simultaneously;
• Strong analytical, organizational, and problem-solving skills ;
• Experience working in Agile environments and with distributed teams across countries and time zones;
• Proficiency in Office productivity tools ;
• Excellent communication and presentation skills in English, both written and spoken.

What do we have to offer you?

• Health Insurance;
• Feedback&Coffee – the system that includes Aubay’s Performance Management Cycle, with regular moments of feedback and the Career Progression Model;
• Working model: remote;
• A Training Academy designed to think of you and your needs. You can count on technical and behavioural training sessions (e-Learning and classroom), Meet&Techs, Webinars and Mentoring;
• Events and Teambuildings.

What makes us different?

• Our organizational culture is based on values such as transparency, team spirit, regular feedback and continuous learning;
• Reference prizes and birthday present;
• We don’t have a dress code;
• We know your name and all address each other informally;
• You will grow in good company.Isn’t this one of the ways in which to develop professionally?

If we got your attention, we now hope to spark your enthusiasm. Ready for the first phase?

We are waiting for you at !

Personal Data collected by AUBAY PORTUGAL as Data Controller, regarding the identification, contact and professional capabilities of the candidates, in the present procedure, will be processed for the application analysis, having in consideration that the processing is conducted in order to to take the steps, at the request of the data subject, prior to entering into a contract;

Personal data sent through the present application will be kept by Aubay during the application procedure and will remain stored whilst updated (for two years period).

The collected data might be transferred or include other processing actitivites, as long as the data subject is informed, in the occurrence of a standard application and selection procedure, for the compliance of legal obligations for the time required by law.

For any queries or request regarding personal data protection rights, the Data Subject may contact AUBAY PORTUGAL’s headquarters in Avenida Duque D`Ávila, nº46 em Lisboa or use the DPO’s e-mail - The Data Subject also has the right to file a complaint with the National Data Protection Authority –

(please do not include data regarding racial or ethnical origins, political opinions, religion, philosophy, biometrical data, health data, sexual life and orientation, or relating to o criminal convictions and offences.)

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!

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!