52 Empregos para Inteligência De Dados - Portugal

Are you passionate about scaling Machine Learning Models and making sure that the Business KPIs are being checked? We are looking for a ML Engineer!

Before getting to all that you need to know about this opening I need you to understand that even though we are a portuguese company (you'll find more info about us below), this project will demand a lot of English interactions, therefore is really important that you understand, write and are able to speak it fluently.

What will you be doing?

• Design Machine Learning, Inference and CI/CD pipelines
• Design and optimize ambience packages for infrastructure configuration of each ML and Inference Pipeline
• Monitor and reduce operational risks of data or model drift

What will you have to deliver?

• SQL, Python or Scala, Spark snippets
• Machine Learning and hyper-parameter optimization
• CI/CD pipelines for Analytics with MLOps
• Inference pipelines monitorization schemes
• Datasets Access configuration through ML Pipelines

What checkboxes should you fill?

• 5-10 year of experience in similar role
• Bachelor in Software Engineering or similar
• Agile Methodologies, JIRA and Confluence
• Technical Knowledge of SQL, Python, Scala
• Technical Knowledge of Spark: RDD, Dataset, Streaming APIs and Spark MLib
• Knowledge of MLOps and CI/CD pipelines
• Knowledge of Feature Engineering, Machine Learning Techniques and Hyper-Parameter Optimization

If you feel like sending something custom and special, you can contact me at .

--

ABOUT PRIMEIT

PrimeIT is a leading company with 20 offices around the globe and with over 18 years of experience in providing IT, Telecommunications, and Engineering technological services.

Specialized in Team Extension, Managed Services, Custom Software, and Nearshore, we currently have a team of over 2350 professionals collaborating on national and international projects across various technologies and countries.

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

Who We Are: We are a fast growing business and technology consultant company co-founded in 2019. We offer a custom-tailored, white-glove engineering service fit for our clients, because a digital transformation is more than just technology. With a successful track record of being a preferred vendor for Fortune 500 companies and as a trusted partner for some of the industry’s leading companies, our global talent has helped many clients achieve their goals.

The 3 G’s of RE:

“Get Shit Done.”

“Get Over Shit.”

“Give a Shit.”

This role exists to support the business in utilizing Machine Learning applications to drive additional value for our customers by feeding into the delivery of strategic data science solutions whilst setting up resilient and future-proof ML infrastructure and engineering foundations.

Responsibilies:

• Designing and developing our ML Operations (MLOps) infrastructure and practices to support the effective transition of machine learning models and PoCs into production in a cost and operationally efficient manner.
• Monitoring, and maintaining the health of new and existing ML models post deployment; Working with business stakeholders to proactively raise awareness of any risks to the model(s) outputs and/or their interpretation, and usability.
• Implementing modern code development and MLOps strategies, in collaboration with Data Science and Data Engineering to support the proactive identification, targeting and resolution of any ML model(s) performance issues across their entire lifecycle.
• Developing operating procedures, work instructions and high-level designs of ML pipelines and architectures to support the effective documentation of our work.
• Working with third party partners and software providers to improve, implement and/or support the move to production of novel Machine Learning solutions.
• Raising awareness of best practices for MLOps; collaborating and knowledge sharing with individuals across the data and software teams, and wider business.
• Collaborating with Data Science, Data Engineering and Software Engineering teams to drive cross-function visibility and reduction of technical debt across the teams.
• Designing and implementing ML infrastructure to support the deployment and monitoring of ML models in production in an efficient and cost-effective manner.
• Developing an MLOps strategy aligned to best practice and existing DevOps practices in Gymshark.
• Developing a strong knowledge of all data sources and maintaining relations with data users/processors across the business.

Essential:

• Extensive experience and expertise in Python.
• Proven experience in modern code development practices and implementation of MLOps strategies in the cloud to drive operational and infrastructure cost efficiencies.
• Hands on experience designing, building, and maintaining ML infrastructure and taking ML models to production.
• Working knowledge of CI/CD practices.
• Strong stakeholder management skills: working collaboratively with Data Science, DevOps, Data and Software Engineering teams.
• Demonstrable experience of critical thinking, communication and problem-solving ability, and stakeholder management.
• Coaching junior engineers to support their technical skills development.
• Able to separate BAU from core objectives.
• Demonstrate delivery under pressure and to deadline.

Preferred:

• Experience productionising recommender engines and ensemble ML in Google Cloud
• Experience or exposure to managing ML Infrastructure costs and operational reliability in the cloud.
• Willingness to learn new tools and techniques; proactively keeping up to date with latest thinking and practices in the data science space.
• Experience working in an e-commerce/retail market would be beneficial.
• Embrace change with a positive outlook.
• Confident to challenge, and receptive to being challenged.
• The ability to thrive in a fast-paced environment.

Join Our Global Team: We invite you to apply for the position at RE Partners. Join us in shaping the future of business technology consulting and transforming the way organizations thrive in a digital world. As a diverse, woman-owned global business, we pride ourselves on keeping talent happy – our 7% attrition rate speaks volumes. Bring your talented friends along and earn a referral bonus

Equal Opportunity Employer: We are an equal opportunity employer and welcome applications from all qualified individuals regardless of race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, or veteran status.

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

Who We Are: We are a fast growing business and technology consultant company co-founded in 2019. We offer a custom-tailored, white-glove engineering service fit for our clients, because a digital transformation is more than just technology. With a successful track record of being a preferred vendor for Fortune 500 companies and as a trusted partner for some of the industry's leading companies, our global talent has helped many clients achieve their goals.

The 3 G's of RE:

"Get Shit Done."

"Get Over Shit."

"Give a Shit."

This role exists to support the business in utilizing Machine Learning applications to drive additional value for our customers by feeding into the delivery of strategic data science solutions whilst setting up resilient and future-proof ML infrastructure and engineering foundations.

Responsibilies:

• Designing and developing our ML Operations (MLOps) infrastructure and practices to support the effective transition of machine learning models and PoCs into production in a cost and operationally efficient manner.
• Monitoring, and maintaining the health of new and existing ML models post deployment; Working with business stakeholders to proactively raise awareness of any risks to the model(s) outputs and/or their interpretation, and usability.
• Implementing modern code development and MLOps strategies, in collaboration with Data Science and Data Engineering to support the proactive identification, targeting and resolution of any ML model(s) performance issues across their entire lifecycle.
• Developing operating procedures, work instructions and high-level designs of ML pipelines and architectures to support the effective documentation of our work.
• Working with third party partners and software providers to improve, implement and/or support the move to production of novel Machine Learning solutions.
• Raising awareness of best practices for MLOps; collaborating and knowledge sharing with individuals across the data and software teams, and wider business.
• Collaborating with Data Science, Data Engineering and Software Engineering teams to drive cross-function visibility and reduction of technical debt across the teams.
• Designing and implementing ML infrastructure to support the deployment and monitoring of ML models in production in an efficient and cost-effective manner.
• Developing an MLOps strategy aligned to best practice and existing DevOps practices in Gymshark.
• Developing a strong knowledge of all data sources and maintaining relations with data users/processors across the business.

Essential:

• Extensive experience and expertise in Python.
• Proven experience in modern code development practices and implementation of MLOps strategies in the cloud to drive operational and infrastructure cost efficiencies.
• Hands on experience designing, building, and maintaining ML infrastructure and taking ML models to production.
• Working knowledge of CI/CD practices.
• Strong stakeholder management skills: working collaboratively with Data Science, DevOps, Data and Software Engineering teams.
• Demonstrable experience of critical thinking, communication and problem-solving ability, and stakeholder management.
• Coaching junior engineers to support their technical skills development.
• Able to separate BAU from core objectives.
• Demonstrate delivery under pressure and to deadline.

Preferred:

• Experience productionising recommender engines and ensemble ML in Google Cloud
• Experience or exposure to managing ML Infrastructure costs and operational reliability in the cloud.
• Willingness to learn new tools and techniques; proactively keeping up to date with latest thinking and practices in the data science space.
• Experience working in an e-commerce/retail market would be beneficial.
• Embrace change with a positive outlook.
• Confident to challenge, and receptive to being challenged.
• The ability to thrive in a fast-paced environment.

Join Our Global Team: We invite you to apply for the position at RE Partners. Join us in shaping the future of business technology consulting and transforming the way organizations thrive in a digital world. As a diverse, woman-owned global business, we pride ourselves on keeping talent happy – our 7% attrition rate speaks volumes. Bring your talented friends along and earn a referral bonus

Equal Opportunity Employer: We are an equal opportunity employer and welcome applications from all qualified individuals regardless of race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, or veteran status.

Are you passionate about scaling Machine Learning Models and making sure that the Business KPIs are being checked? We are looking for a ML Engineer!

Before getting to all that you need to know about this opening I need you to understand that even though we are a portuguese company (you'll find more info about us below), this project will demand a lot of English interactions, therefore is really important that you understand, write and are able to speak it fluently.

What will you be doing?

• Design Machine Learning, Inference and CI/CD pipelines
• Design and optimize ambience packages for infrastructure configuration of each ML and Inference Pipeline
• Monitor and reduce operational risks of data or model drift

What will you have to deliver?

• SQL, Python or Scala, Spark snippets
• Machine Learning and hyper-parameter optimization
• CI/CD pipelines for Analytics with MLOps
• Inference pipelines monitorization schemes
• Datasets Access configuration through ML Pipelines

What checkboxes should you fill?

• 5-10 year of experience in similar role
• Bachelor in Software Engineering or similar
• Agile Methodologies, JIRA and Confluence
• Technical Knowledge of SQL, Python, Scala
• Technical Knowledge of Spark: RDD, Dataset, Streaming APIs and Spark MLib
• Knowledge of MLOps and CI/CD pipelines
• Knowledge of Feature Engineering, Machine Learning Techniques and Hyper-Parameter Optimization

If you feel like sending something custom and special, you can contact me at

--

ABOUT PRIMEIT

PrimeIT is a leading company with 20 offices around the globe and with over 18 years of experience in providing IT, Telecommunications, and Engineering technological services.

Specialized in Team Extension, Managed Services, Custom Software, and Nearshore, we currently have a team of over 2350 professionals collaborating on national and international projects across various technologies and countries.

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

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

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
  wit
  h 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.

WELCOME TO OLX
At OLX, we work together to build a more sustainable world through trade
.

We make it safe, smart, and convenient to buy and sell cars, find housing, get jobs, buy and sell household goods, and more. Our colleagues around the world help to serve millions of people around the world every month, through its well-loved consumer brands including OLX, Otodom , Property24.

Join OLX and see how far you can go
.

JOIN OUR ML TEAM
We invite you to join a team that works with OLX, Automotive platforms (Otomoto, Standvirtual), and Real Estate platforms (Otodom, Storia) across the entire EU region. A team that breaks through walls and builds cross-functional connections with everyone around. A team where a common mission and goals matter more than reporting lines. We build on each other, asking for help and support when needed, and we proactively support others.

In your day-to-day routine, you will have the opportunity to work on supervised models for behavioral classification, deep learning models for image classification, regression models for value estimation, as well as NLP and LMM-based models for various applications. All using Python and the AWS cloud. You will be exposed to key stakeholders, have direct contact with internal customers. You will have carte blanche to experiment and test things. And most importantly, you will also witness how your work impacts the day-to-day business of our customers.

What You Will Be Doing

• Work in the Data Science team focusing on the Motors vertical.
• You will help build the infrastructure needed to create agents as well as models, refine them for optimal performance, test them, and eventually deploy them to production.
• You will see your work in action and measure the true impact of your models on our platform.
• You will maintain strong relationships with stakeholders. This involves asking numerous questions to business people and translating their requirements into achievable projects. It also means collaborating with other teams, like infrastructure and data engineering, to get things done in an efficient and elegant manner.
• Partner with Engineering and Product to deliver solutions (customer-facing and platforms) to our customers (internal and end customers).
• Work with Product Analytics to track the KPIs of different ML use cases and measure the impact on our customers.
• Collaborate with the Experimentation team to integrate the KPIs and their proxies into the Experimentation (A/B testing) platform.
• You will work in multi-functional teams, in a diverse, multinational environment, filled with people from Portugal, Poland, Germany and Romania.
• Most importantly, you will have fun working with us :)

Who We Are Looking For

• At least 2 to 3 years of professional experience as an MLE
• Strong knowledge of GenAI and LLMs (you are able to deploy multi-agent systems as well and tracking their performance in Production)
• Good knowledge of the best engineering practices
• Experience with building data pipelines leveraging Airflow and AWS Batch Jobs
• Experience with serving machine learning models at scale
• Excellent knowledge of Python
• Experience in using machine learning frameworks in production settings: Scikit-Learn, Pytorch and Transformers
• Experience using cloud-based architectures for deploying machine learning solutions
• Proficient in English with excellent written and oral communication skills

Nice To Have

• Exposure to MLOps tools
• Exposure to production infrastructure and best DevOps practices: monitoring, alerting, CI/CD, container-orchestrating platforms, and infrastructure-as-code tools (Grafana, Prometheus, Kubernetes, Terraform
• Understanding of A/B testing and experimentation

Our Hiring Process

• Recruiter Interview
• Hiring Manager Interview
• Live Coding Interview
• System Design Interview

Our Benefits

• Permanent contract
• Salary + annual bonus up to 15% of your annual gross salary
• Work with and impact all OLX websites around the world
• Train and conference budget and free access to Udemy courses
• Health insurance and life insurance
• MacBook Pro or Windows Dell along with necessary accessories to make your work comfortable
• 100% remote work (and the possibility to work from our office in Lisboa)

Diversity, Equity and Inclusion at OLX
OLX values diversity and welcomes applicants of all races, ethnicities, disabilities, ages, genders, sexual orientations, religions, backgrounds, and experiences to apply. If this role excites you, we encourage you to apply, even if you don't meet all the requirements - you may be just the right fit for this or other opportunities with us

OLX will process your personal data to assess your fit for the applied position. You may optionally consent to store your data for up to 12 months after the application process for consideration in future OLX roles. For more details on how your application data will be processed please check our
Privacy Statement
.

Join Atlana – Where Innovation Meets Talent

At Atlana, we believe in the power of technology and great people. We specialize in IT nearshoring and custom software development, helping businesses scale with skilled, flexible tech teams. Based in Lisbon, we work on exciting projects that make a real impact.

We're looking for passionate people who love their work and want to grow in a collaborative, innovative, and supportive environment. If you enjoy tackling challenges, learning new things, and working with cutting-edge tech, you'll feel right at home with us

What we offer:

A friendly, inspiring, and growth-focused culture

Exciting projects with modern technologies

Career development opportunities and learning support

Competitive benefits

A remote-friendly work environment

We're Hiring: Machine Learning Engineer

Role Overview

Responsible for transforming the models of a Banking institution into optimised, scalable, and production-ready inference pipelines. Acts as the bridge between exploratory modeling and production deployment.

Key Responsibilities

• Convert prototypes and notebooks into production-grade inference pipelines (batch or real-time).

• Optimize models for low-latency execution and efficient resource usage.

• Develop pre- and post-processing logic for model input/output data.

• Ensure testability, versioning, and traceability of models in production.

• Work with MLOps teams to integrate models into CI/CD pipelines and continuous retraining processes.

• Collaborate with Data Engineers on integration with Feature Stores and real-time data sources.

• Ensure compliance with security and regulatory requirements (logging, auditability, validation).

Requirements

• Bachelor's or Master's degree in Computer Engineering, Data Science, or a related field.

• Proven experience in developing and deploying machine learning models to production.

• Hands-on experience with frameworks such as MLflow, TensorFlow Serving, TorchServe, ONNX Runtime, or similar.

• Proven experience in model serialisation, optimisation, and deployment (e.g., LightGBM, XGBoost, scikit-learn, PyTorch).

• Strong ability to work in multidisciplinary teams with Data Scientists, MLOps, and Data Engineers.

• Previous experience in personalisation projects, recommendation engines, or real-time decision systems is a plus.

Note:
Hybrid opportunity in Lisbon office, 3 days per week required

Ready to take the next step?

Send us your
CV
, and let's build something amazing together

Learn more about us: