Senior Data Scientist
Senior Data Scientist (Generative AI Focus)
Permanent, Fully remote within Portugal
A permanent opportunity is open for a Senior Data Scientist to join a forward-thinking AI team, leading the development and deployment of machine learning models — with a growing emphasis on Generative AI.
Key Responsibilities
* Translate business and product requirements into scalable machine learning solutions
* Identify high-impact opportunities for applying Generative AI, from ideation to production
* Perform in-depth data analysis (EDA), feature engineering, and model evaluation
* Design and implement machine learning models, including both traditional ML and deep learning approaches
* Run structured experiments to compare model architectures and optimize performance
* Deploy models into production environments and maintain continuous improvement loops
Required Qualifications
* Strong theoretical understanding and practical experience with machine learning algorithms
* Proven track record of deploying machine learning models into production
* Hands-on experience with Generative AI frameworks (e.g., LLMs, transformers, diffusion models)
* Proficiency in Python and familiarity with object-oriented programming
* Solid MLOps experience, including model monitoring and CI/CD pipelines
Preferred Qualifications
* Experience with GenAI application development (e.g., conversational agents, content generation, personalization)
* Exposure to Big Data tools such as Spark or PySpark
* Familiarity with cloud platforms, ideally Azure and Databricks
* Industry experience in domains such as fraud detection, recommendation systems, CRM, or sports tech
Data Scientist - GenAI
Local: Remote, Portugal
team.it, back to basics!
Data Scientist - Digital Marketing
AUTODOC is the largest and fastest-growing auto parts e-commerce platform in Europe. Present across 27 countries with over 5,500 employees, AUTODOC generated revenue of over €1.5 billion in 2024, supplying more than 8.4 million active customers with its 6.6 million vehicle parts and accessories for car, truck, and motorcycle brands.Curious minds, adventurous experts and tech-savvy professionals - one team, one billion euros revenue. Catch the ride!
Responsibilities
* Develop statistical and machine learning models to assess and optimize the effectiveness of marketing campaigns.
* Analyze and interpret data to identify potential improvements in marketing strategies.
* Apply uplift modeling methods to target specific customer groups to maximize ROI.
* Collaborate with marketing and sales departments to understand business goals and translate them into analytical tasks.
* Prepare and present reports on analysis results and recommendations for marketing strategy enhancements.
* Evaluate and continuously improve analytics and modeling methodologies in line with the latest trends in Data Science.
* Participate in the development and implementation of systems and tools to automate analytical processes.
Requirements
* Over 2 years of experience in Data Science, with a focus on uplift modeling and causal effect analysis.
* Deep knowledge and practical experience with Python and data analysis libraries (Pandas, NumPy, Scikit-learn), as well as specialized libraries for causal analysis, for example CausalML or others.
* Understanding of A/B testing principles, including planning, conducting, and analyzing test results.
* Knowledge of SQL and experience with databases, including ClickHouse, for effective data extraction and processing.
Nice to have
* Knowledge and experience with Apache Spark and Apache Airflow for processing large data volumes and workflow automation.
* Experience with cloud platforms, particularly Google Cloud Platform, for scaling and managing analytical solutions.
* Familiarity with CI/CD principles, experience with model versioning, and understanding of MLOps fundamentals.
* Bachelor's or higher degree in Applied Mathematics, Statistics, Computer Science, Economics or a related field.
* Strong communication skills and the ability to effectively interact with both technical specialists and business stakeholders.
What do we offer?
* Competitive salaries based on your professional experience
* Annual vacation of 25 working days and 1 additional day off on your birthday
* Meals Allowance
* Mental Wellbeing Program- providing you and your immediate family members with free and confidential mental and physical health support services for a wide range of personal and work-related issues.
* AUTODOC Corporate Discount
* Opportunities for advancement, further trainings (over 650 courses on soft and hard skills on our e-learning platform) and coaching
* Free English and German language classes
* Referral Program with attractive incentives
* Flexible working hours and hybrid work
* Fast growing international company with stable employment
Join us today and let’s create a success story together!
Data Scientist/ AI Engineer
We’re looking for the special, unique and amazing YOU!
@ KCS IT, we look for the ones that stands out, for those that always wants to be better and fight for it, and for those who has the same values that we do: dedication, energy, integrity, transparency, flexibility, trust, honesty, hard work, proactivity, team work.
At KCS we stand for equality and value diversity. We create a safe, diverse environment where opportunities are equal for everyone! We do not discriminate based on age, ethnicity, sexual orientation, gender, disability or any factor other than merit. All applications with skills for the position are welcome!
We are looking for an Amazing: Data Scientist/ AI Engineer
Seniority: 2-3 years
Location : Remote - Portugal
Skills Needed?
* Bachelor / Master in Computer Engineering or similar;
* 2+ years of experience;
* Familiar with Python and relevant libraries for AI experimentation or prototyping;
* Comfortable using LLM APIs or tooling;
* Familiar with version control systems (Git);
* Experience working on generative AI applications or retrieval-augmented generation (RAG );
* Familiarity with Azure AI services (e.g., Azure OpenAI, Azure ML);
* Fluent in English (spoken and written).
Why should you become part of our family?
* You can develop a career that fits you: your career development is personalized, taking in consideration your needs and goals from a short to long term
* Interesting Challenges Ahead: you can work for several clients from different sectors of activity
* Free training programs: Our training and certification programs in languages, tech, behavior and business will help you to reach your full potential faster
* International projects in Benelux: you can gain international experience in Benelux and balance a new way of living with work
* Type of projects (depending on the project you might find one of this types of projects):
* In hybrid Systems: Is important to balance work with socialization, that´s why a hybrid system works for us and for you
* Full Remote projects: If you want to work while you enjoy the comfort of your home
* Full Onsite projects: if you prefere the company of your colleagues!
* Take care of your well-being: Enjoy our free nutrition, psicologist, general medicine appointments and our yoga and personal training days… all remote!
Who are we?
Founded in 2008 and based in Lisbon, KCS IT is a consulting company in the field of Information Technology and Services, focused on creating value for our clients through three main areas: Consulting, Outsourcing, Inovation and Training. Our commitment to talent development is unmistakable in the recent opening of the Porto, Leiria and Azores hubs, which aims to develop technology for the national and international market. Since 2018 we have been elected one of the 10 major companies in the “Index of Excellence”, an initiative that aims to reward organizations that invest most in the development and satisfaction of their employees.We believe transparency, trust and integrity are the pillars of any business and relationship and that is what we promise our clients and employees who join our company KCS IT.
Here, you can be totally sure about this: we value each person that joins us. We welcome everyone as part of this family and we do everything we can so that we can learn and grow together.
Machine Learning Engineer
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 we looking for?
* 8+ years of relevant experience in Machine Learning, Data Engineering, or MLOps roles.
* Proven track record of building, deploying, and maintaining ML systems in production environments.
* Proficient with ML frameworks: PyTorch, TensorFlow, and Scikit-learn.
* Hands-on experience with MLflow, SageMaker, and Azure ML for model training, tracking, and deployment.
* Skilled in CI/CD pipelines for ML using GitHub Actions, Azure DevOps, and Terraform.
* Expertise in model observability, monitoring and drift detection.
* Experience building and managing ML pipelines using Airflow, Azure Data Factory, and related tools.
* Cloud infrastructure expertise with Azure (primary) and AWS (secondary).
* Containerization and orchestration using Docker and Kubernetes (AKS) .
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.)
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 are a dynamic, trustworthy, and integrity-driven team
Where can you be SMART?
Remote
Cargo
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.
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.
Machine Learning Engineer
Are you looking to take the next step in your career in IT and Telecommunications?
Then you've come to the right place – Smart!
Technology, transformation, and innovation are part of our DNA. We are a technology consulting company with over a decade of experience in developing national and international projects in IT and Telecommunications, and we want to be part of your story.
What do you need to be a SMART ML Engineer?
->3+ years in software/backend engineering roles
->Hands-on experience with:
* ML lifecycle tools (e.g. MLflow)
* CI/CD, version control, and automated testing for ML
Why be SMART?
* We make the projects we participate in a reality.
* We love what we do and take pride in the results of our work.
* We are simple and efficient.
* We are a dynamic, honest, and trustworthy team.
If you're interested, submit your CV or send me a private message!
Lead Machine Learning Engineer
Would you like to partake in technical challenges, collaborate on an interesting product, be up to date with the latest technology, and contribute to taking our product to market? Then keep reading!
Yes, tell me more…
fullinfo is a startup B2B data services software company.
We are building an un-paralleled data collection pipeline which is being deployed on AWS and written in Go and Typescript. With a focus on innovation, quality, and accessibility, we are developing a one-stop lead generator platform.
The Customer facing part of the solution is a Typescript and GraphQL based web application. Deployed on AWS as well. Serverless paradigm is being applied: Most of our code is running as AWS’s Lambda’s. AWS infrastructure is managed by applying Terraform.
We’re looking for a Lead Machine Learning Engineer to join on an initial 12-month B2B contract basis. In this role, you’ll drive the strategy and execution of ML systems that power our product, from ideation to deployment. You’ll collaborate across teams, mentor others, and ensure our ML efforts are scalable, impactful, and aligned with business goals.
Responsibilities:
* Define the ML strategy and lead the development of scalable, production-grade machine learning systems on AWS (e.g., Lambda, S3, SageMaker).
* Guide the design of robust pipelines to prepare and enrich structured and unstructured data (e.g., JSON, scraped web data) for ML tasks.
* Develop and oversee models for tasks such as data classification, entity resolution, relationship detection, and summarization.
* Lead experimentation with LLMs (e.g., GPT, BERT, LLaMA), including prompt engineering, embedding generation, fine-tuning, and RAG approaches.
* Collaborate with product, engineering, and data teams to integrate ML into product features that solve real customer problems.
* Establish and maintain best practices for model evaluation, monitoring, observability, and reproducibility.
* Mentor ML engineers and help shape a high-performance, learning-oriented ML team.
* Stay ahead of trends in machine learning and AI, and identify opportunities to apply emerging techniques within our product.
Requirements:
* Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related field.
* 6+ years of hands-on experience in applied machine learning, with at least 1–2 years in a technical leadership or lead role.
* Strong Python skills and fluency with ML/NLP libraries and frameworks (e.g., Pandas, scikit-learn, Hugging Face, PyTorch, boto3).
* Proven experience deploying ML systems on AWS (e.g., SageMaker, Lambda, ECS).
* Experience working with semi-structured and unstructured data at scale (e.g., NoSQL, web data, nested JSON).
* Deep understanding of LLM-based workflows and practical deployment (prompt tuning, embeddings, vector search, etc.).
* Familiarity with MLOps practices and tools (e.g., CI/CD for ML, monitoring, versioning).
* Experience with infrastructure-as-code tools like Terraform is a plus.
* Excellent communication and collaboration skills. Business-level English required.
The successful candidate will…
* Take ownership of ML initiatives end-to-end and enjoy turning real-world messy data into valuable product features.
* Are comfortable making architectural decisions and working cross-functionally with product and engineering teams.
* Enjoy mentoring others and fostering a collaborative, high-quality engineering culture.
* Stay curious, love solving hard problems, and care deeply about how your work impacts the user.
* Appreciate the balance between long-term technical vision and fast, iterative delivery in a startup environment.
What can you expect from us?
* To shape the company from the ground up – join our team as a pioneer and help us carve our way forward.
* Together we’ll take our product to market – how cool would it be to celebrate together?A flat hierarchical structure with room for innovation in a highly motivated team.
* A start-up environment that is passionate about quality, problem solving and building beautiful software.
Our passion stems from our shared values and mission. With that said, our culture is built on two major aspects:
Quality: At fullinfo we have show-and-tell energy, and we let the quality of our product speak for itself. We love building beautiful software and get hyped by always raising the bar on quality. Our product is beautiful inside and outside. How do we achieve this? By always asking ourselves “Is this right?” or “Does this make sense?”.
Problem Solving: We foster innovation and novel approaches to problem solving, while keeping user needs at front of mind.
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