86 Empregos para Lead data scientist - Porto Alegre

**ADP is hiring a Lead Data Scientist:**
+ _Are you looking for a role where you can leverage your skills and passion for innovative technology to make an impact to the business?_
+ _Do you enjoy a challenge which demands you flex creative and logical problem-solving skills?_
Well, this may be the role for you. Ready to design what's next?
In this role you will take ownership for scaling data science initiatives focused on behavior analytics to empower our associates and provide a personalized service experience to our clients. Your impact will grow as you bring these solutions to life across multiple businesses. This role will also be responsible to support a variety of analytics projects leveraging your skills in NLP, Python and SQL.
No two days are the same. You'll collaborate closely with multiple stakeholders to identify, design, develop and implement embedded analytics solutions. You'll lead the design and implementation of data-driven solutions to address small business problems. Develop and deploy machine learning models to improve business processes and outcomes. Communicate complex analytical findings in a clear and concise manner to both technical and non-technical stakeholders. Stay current with industry trends, emerging technologies, and best practices in data science and machine learning.
To thrive in this role, you will be enthusiastic about the potential of advanced analytics and have direct experience and/or training. You will thrive working through technical issues with other data scientists and engineers to solve critical problems. You will have broad responsibility for all aspects of program success including troubleshooting issues, testing, quality control and overcoming production roadblocks. While you will have support across our Analytics team, you will be ultimately responsible for delivering successful end results.
**Hybrid work model, office in Porto Alegre/RS Office location.**
**WHAT YOU'LL DO:**
On a typical day in the life of a Lead Data Scientist at ADP:
+ **NLP.** You bring training/experience in NLP to extract information from unstructured data and produce actionable insights.
+ **Advanced Analytics.** You have experience working closely with business stakeholders to understand needs and define analytic requirements. You have experience extracting and analyzing data (using Python and/or SQL) and can communicate insights back to the business through both presentations and visualizations (Tableau).
+ **Continuous Learning.** You enjoy discovering new techniques in Data Science / ML / GenAI and bring learnings back to inspire innovation and help the team overcome roadblocks.
**TO SUCCEED IN THIS ROLE:**
+ Bachelor's degree in relevant coursework or a related field with 5+ years of experience in data science, or master's degree in a related field with 3+ years of experience in data science.
+ Strong programming skills in Python, R, or similar languages.
+ Proficiency in data manipulation and analysis using SQL and other tools (Databricks, AWS).
+ Strong understanding of statistical methods and data modeling techniques, including neural networks.
+ Experience with data visualization tools (e.g., Tableau, PowerBI, advanced Excel).
+ Proven experience in crafting, testing and deploying ML projects in Python with keen focus on eliciting optimal outputs.
+ Experience working directly with business stakeholders to understand needs and translate into data science requirements, techniques, and solutions.
+ Communicate complex analytical findings in a clear and concise manner to both technical and non-technical stakeholders.
+ Solid understanding of LLM and GenAI is a plus.
**HOW YOU'LL STAND OUT:**
+ Experience in GenAI and Machine Learning.
**YOU'LL LOVE WORKING HERE BECAUSE YOU CAN:**
+ **Have courageous team collaboration.** Courage comes from how associates are willing to have difficult conversations, speak up, be an owner, and challenge one another's ideas to find the best solution.
+ **Deliver at epic scale.** We deliver real user outcomes using strong judgment and good instincts. We're obsessed with the art of achieving simplicity with a focus on client happiness and productivity.
+ **Be surrounded by curious learners** . We align ourselves with other smart people in an environment where we grow and elevate one another to the next level. We encourage our associates to listen, stay agile, and learn from mistakes.
+ **Act like an owner - doer.** Mission-driven and committed to leading change, you will be encouraged to take on any challenge and solve complex problems. No tasks are beneath or too great for us. We are hands-on and willing to master our craft.
+ **Give back to others.** Always do the right thing for our clients and our community and humbly give back to the community where we live and work. Support our associates in times of need through ADP's Philanthropic Foundation.
+ **Join a company committed to equality and equity.** Our goal is to impact lasting change through our actions.
What are you waiting for? **Apply today!**
_*O modelo de trabalho adotado pela ADP é híbrido, com escritório localizado em Porto Alegre/RS._
_*Considerando que as atividades desempenhadas pelos ocupantes deste cargo envolvem acesso a informações altamente confidenciais e sensíveis de clientes da ADP e de seus respectivos empregados, a ADP reserva-se o direito de conduzir checagem de histórico, de tempos em tempos, conforme autoriza o Incidente de Recurso de Revista Repetitivo nº 01 do Tribunal Superior do Trabalho, mediante consentimento do candidato/trabalhador._
**A little about ADP:** We are a comprehensive global provider of cloud-based human capital management (HCM) solutions that unite HR, payroll, talent, time, tax and benefits administration and a leader in business outsourcing services, analytics, and compliance expertise. We believe our people make all the difference in cultivating a down-to-earth culture that embraces our core values, welcomes ideas, encourages innovation, and values belonging. We've received recognition for our work by many esteemed organizations, learn more at ADP Awards and Recognition ( .
**Diversity, Equity, Inclusion & Equal Employment Opportunity at ADP:** ADP is committed to an inclusive, diverse and equitable workplace, and is further committed to providing equal employment opportunities regardless of any protected characteristic including: race, color, genetic information, creed, national origin, religion, sex, affectional or sexual orientation, gender identity or expression, lawful alien status, ancestry, age, marital status, protected veteran status or disability. Hiring decisions are based upon ADP's operating needs, and applicant merit including, but not limited to, qualifications, experience, ability, availability, cooperation, and job performance.
**Ethics at ADP:** ADP has a long, proud history of conducting business with the highest ethical standards and full compliance with all applicable laws. We also expect our people to uphold our values with the highest level of integrity and behave in a manner that fosters an honest and respectful workplace. Click to learn more about ADP's culture and our full set of values.

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• Are you looking for a role where you can leverage your skills and passion for innovative technology to make an impact to the business?
• Do you enjoy a challenge which demands you flex creative and logical problem-solving skills?
  
  

ADP Is Hiring a Lead Data Scientist

• Are you looking for a role where you can leverage your skills and passion for innovative technology to make an impact to the business?
• Do you enjoy a challenge which demands you flex creative and logical problem-solving skills?
  
  

Well, this may be the role for you. Ready to design what’s next?

In this role you will take ownership for scaling data science initiatives focused on behavior analytics to empower our associates and provide a personalized service experience to our clients. Your impact will grow as you bring these solutions to life across multiple businesses. This role will also be responsible to support a variety of analytics projects leveraging your skills in NLP, Python and SQL.

No two days are the same. You’ll collaborate closely with multiple stakeholders to identify, design, develop and implement embedded analytics solutions. You’ll lead the design and implementation of data-driven solutions to address small business problems. Develop and deploy machine learning models to improve business processes and outcomes. Communicate complex analytical findings in a clear and concise manner to both technical and non-technical stakeholders. Stay current with industry trends, emerging technologies, and best practices in data science and machine learning.

To thrive in this role, you will be enthusiastic about the potential of advanced analytics and have direct experience and/or training. You will thrive working through technical issues with other data scientists and engineers to solve critical problems. You will have broad responsibility for all aspects of program success including troubleshooting issues, testing, quality control and overcoming production roadblocks. While you will have support across our Analytics team, you will be ultimately responsible for delivering successful end results.

Hybrid work model, reporting directly to our Porto Alegre Office location.

What You’ll Do

On a typical day in the life of a Lead Data Scientist at ADP:

• NLP. You bring training/experience in NLP to extract information from unstructured data and produce actionable insights.
• Advanced Analytics. You have experience working closely with business stakeholders to understand needs and define analytic requirements. You have experience extracting and analyzing data (using Python and/or SQL) and can communicate insights back to the business through both presentations and visualizations (Tableau).
• Continuous Learning. You enjoy discovering new techniques in Data Science / ML / GenAI and bring learnings back to inspire innovation and help the team overcome roadblocks.
  
  

To Succeed In This Role

• Bachelor’s degree in relevant coursework or a related field with 5+ years of experience in data science, or master’s degree in a related field with 3+ years of experience in data science.
• Strong programming skills in Python, R, or similar languages.
• Proficiency in data manipulation and analysis using SQL and other tools (Databricks, AWS).
• Strong understanding of statistical methods and data modeling techniques, including neural networks.
• Experience with data visualization tools (e.g., Tableau, PowerBI, advanced Excel).
• Proven experience in crafting, testing and deploying ML projects in Python with keen focus on eliciting optimal outputs.
• Experience working directly with business stakeholders to understand needs and translate into data science requirements, techniques, and solutions.
• Communicate complex analytical findings in a clear and concise manner to both technical and non-technical stakeholders.
• Solid understanding of LLM and GenAI is a plus.
  
  

How You’ll Stand Out

• Experience in GenAI and Machine Learning.
  
  

You’ll Love Working Here Because You Can

• Have courageous team collaboration. Courage comes from how associates are willing to have difficult conversations, speak up, be an owner, and challenge one another’s ideas to find the best solution.
• Deliver at epic scale. We deliver real user outcomes using strong judgment and good instincts. We’re obsessed with the art of achieving simplicity with a focus on client happiness and productivity.
• Be surrounded by curious learners. We align ourselves with other smart people in an environment where we grow and elevate one another to the next level. We encourage our associates to listen, stay agile, and learn from mistakes.
• Act like an owner – doer. Mission-driven and committed to leading change, you will be encouraged to take on any challenge and solve complex problems. No tasks are beneath or too great for us. We are hands-on and willing to master our craft.
• Give back to others. Always do the right thing for our clients and our community and humbly give back to the community where we live and work. Support our associates in times of need through ADP’s Philanthropic Foundation.
• Join a company committed to equality and equity. Our goal is to impact lasting change through our actions.
  
  

What are you waiting for? Apply today!

• O modelo de trabalho adotado pela ADP é híbrido, com escritório localizado em Porto Alegre/RS.
• Considerando que as atividades desempenhadas pelos ocupantes deste cargo envolvem acesso a informações altamente confidenciais e sensíveis de clientes da ADP e de seus respectivos empregados, a ADP reserva-se o direito de conduzir checagem de histórico, de tempos em tempos, conforme autoriza o Incidente de Recurso de Revista Repetitivo nº 01 do Tribunal Superior do Trabalho, mediante consentimento do candidato/trabalhador.
  
  

A little about ADP: We are a comprehensive global provider of cloud-based human capital management (HCM) solutions that unite HR, payroll, talent, time, tax and benefits administration and a leader in business outsourcing services, analytics, and compliance expertise. We believe our people make all the difference in cultivating a down-to-earth culture that embraces our core values, welcomes ideas, encourages innovation, and values belonging. We've received recognition for our work by many esteemed organizations, learn more at ADP Awards and Recognition.

Diversity, Equity, Inclusion & Equal Employment Opportunity at ADP: ADP is committed to an inclusive, diverse and equitable workplace, and is further committed to providing equal employment opportunities regardless of any protected characteristic including: race, color, genetic information, creed, national origin, religion, sex, affectional or sexual orientation, gender identity or expression, lawful alien status, ancestry, age, marital status, protected veteran status or disability. Hiring decisions are based upon ADP’s operating needs, and applicant merit including, but not limited to, qualifications, experience, ability, availability, cooperation, and job performance.

Ethics at ADP: ADP has a long, proud history of conducting business with the highest ethical standards and full compliance with all applicable laws. We also expect our people to uphold our values with the highest level of integrity and behave in a manner that fosters an honest and respectful workplace. Click to learn more about ADP’s culture and our full set of values.Seniority level

• Seniority level Not Applicable

Employment type

• Employment type Full-time

Job function

• Job function Engineering and Information Technology
• Industries Human Resources Services

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Overview

Senior Machine Learning Engineers at Thoughtworks build, maintain and test the architecture and infrastructure for managing machine learning applications. They are involved in supporting and contributing to the design of the end-to-end applications and products. They are responsible for building core capabilities including technical and functional machine learning systems and applications, being the anchor for functional streams of work and are accountable for timely delivery.

As a senior machine learning engineer, you will work on the latest tools, frameworks and offerings while also being involved in enabling credible and collaborative problem solving to execute on a strategy.

Job responsibilities

• You will contribute to design and drive the development of robust scalable architectures and infrastructure for deploying and managing machine learning (ML) applications, ensuring high availability, performance and security.
• You will collaborate with data scientists and engineers to translate business needs into effective and efficient ML systems and applications.
• You will own the development and maintenance of core functionalities within ML applications, including ML pipelines, model training and deployment, and monitoring and evaluation.
• You will drive the functional stream of work by providing technical expertise, handling team discussions and ensuring timely delivery of assigned tasks.
• You will stay ahead of the curve by actively exploring and implementing the latest tools, frameworks and offerings in the ML landscape.
• You will facilitate collaborative problem solving within the team by actively listening, communicating effectively and mentoring other engineers.
• You will contribute to the development and execution of the team's overall ML strategy, aligning technical capabilities with business objectives.
• You will proactively identify and address challenges related to ML systems and applications, proposing solutions and implementing improvements.

Job qualifications Technical Skills

• An advanced English level is required.
• You must have a strong experience with LLM and AI.
• You have experience in writing clean, maintainable and testable code, demonstrating attention to refactoring and readability of the code.
• You are proficient in scripting languages such as Python or Shell for automation and task streamlining.
• You have knowledge of distributed systems and scalable architectures to handle large-scale ML applications.
• You have experience with building, deploying, and maintaining ML systems using relevant ML techniques and platforms, i.e.: Scikit-learn, Tensorflow, MLFlow, Kubeflow, Pytorch.
• You have experience with building, deploying and maintaining ML systems and experience with application of MLOps principles and CI/CD to ML.
• You have experience in machine learning engineering and data science, are familiar with key ML concepts, algorithms and frameworks, and understand ML model lifecycles.
• You have experience with designing and operating the infrastructure required to run different types of ML training and serving workloads, i.e.: on-premise vs. cloud infrastructure, infrastructure as code, monitoring, etc.
• You have hands-on experience with on-premise and cloud services for building and deploying ML pipelines, i.e.: Azure, AWS, GCP or Databricks and associated ML managed services.

Professional Skills

• You understand the importance of stakeholder management and can easily liaise between clients and other key stakeholders throughout projects, ensuring buy-in and gaining trust along the way.
• You are resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives.
• You don’t shy away from risks or conflicts, instead you take them on and skillfully manage them.
• You are eager to coach, mentor and motivate others and you aspire to influence teammates to take positive action and accountability for their work.
• You enjoy influencing others and always advocate for technical excellence while being open to change when needed.

Other things to know Learning & Development

There is no one-size-fits-all career path at Thoughtworks: however you want to develop your career is entirely up to you. But we also balance autonomy with the strength of our cultivation culture. This means your career is supported by interactive tools, numerous development programs and teammates who want to help you grow. We see value in helping each other be our best and that extends to empowering our employees in their career journeys.

About Thoughtworks

Thoughtworks is a dynamic and inclusive community of bright and supportive colleagues who are revolutionizing tech. As a leading technology consultancy, we're pushing boundaries through our purposeful and impactful work. For 30+ years, we've delivered extraordinary impact together with our clients by helping them solve complex business problems with technology as the differentiator. Bring your brilliant expertise and commitment for continuous learning to Thoughtworks. Together, let's be extraordinary.

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Overview

Launch Potato is a profitable digital media company that reaches over 30M+ monthly visitors through brands such as FinanceBuzz, All About Cookies, and OnlyInYourState. As The Discovery and Conversion Company, our mission is to connect consumers with the world’s leading brands through data-driven content and technology. Headquartered in South Florida with a remote-first team spanning over 15 countries, we’ve built a high-growth, high-performance culture where speed, ownership, and measurable impact drive success.

Why join us

At Launch Potato, you’ll accelerate your career by owning outcomes, moving fast, and driving impact with a global team of high-performers.

Your Role

Lead a team of ML engineers building next-generation personalization and optimization systems. You’ll balance hands-on technical work with team leadership, driving both technical excellence and business impact. This role requires someone who can architect complex systems while mentoring others and collaborating across organizations.

Responsibilities

• Lead a team of 3-5 ML engineers building personalization systems
• Architect multi-stage ranking systems (retrieval → ranking → re-ranking)
• Define technical roadmap aligned with business objectives
• Drive improvements in model quality, system reliability, and development velocity
• Establish best practices for model development and deployment
• Partner with product, data science, and engineering teams
• Contribute hands-on to critical model development (50% coding)

Qualifications

• 7+ years in ML engineering, 2+ years leading technical teams
• Deep expertise in large-scale personalization systems
• Experience with modern ML architectures (two-tower, transformer-based, graph neural networks)
• Strong system design skills for ML infrastructure
• Proven ability to mentor engineers and drive technical decisions
• Experience managing stakeholder relationships and project delivery
• BS/MS in Computer Science or equivalent experience

Nice to Have

• Experience in adtech, e-commerce, or content platforms
• Published papers or significant ML contributions
• Experience with multi-objective optimization
• Knowledge of reinforcement learning for personalization

Job Details

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Engineering and Information Technology
• Industries: Advertising Services

We are committed to having a diverse, inclusive team and culture. We are proud to be an Equal Employment Opportunity company. We value diversity, equity, and inclusion. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other legally protected characteristics.

Want to accelerate your career? Apply now!

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Overview

Join to apply for the Senior Machine Learning Engineer role at Launch Potato .

WHO WE ARE

Launch Potato is a profitable digital media company that reaches over 30M+ monthly visitors through brands such as FinanceBuzz, All About Cookies, and OnlyInYourState. As The Discovery and Conversion Company, our mission is to connect consumers with the world’s leading brands through data-driven content and technology.

Headquartered in South Florida with a remote-first team spanning over 15 countries, we’ve built a high-growth, high-performance culture where speed, ownership, and measurable impact drive success.

WHY JOIN US

At Launch Potato, you’ll accelerate your career by owning outcomes, moving fast, and driving impact with a global team of high-performers.

YOUR ROLE

You will build systems that drive millions in revenue through intelligent personalization and optimization. You'll develop and deploy models that understand user preferences, optimize content discovery, and personalize experiences at scale. This is a hands-on role where you'll see direct impact on business metrics daily.

What You'll Do

• Build and deploy ML models serving 100M+ predictions daily
• Develop ranking algorithms that balance relevance, diversity, and revenue
• Implement real-time personalization features with latency under 50 ms
• Run A/B tests and analyze model performance against business KPIs
• Optimize models for production (latency, throughput, cost)
• Collaborate with product teams to identify new personalization opportunities

What We're Looking For

• 5+ years building production ML systems
• Strong experience with ranking algorithms (collaborative filtering, deep learning, learning-to-rank)
• Proficiency in Python and ML frameworks (TensorFlow/PyTorch)
• Experience with distributed computing (Spark, Ray)
• Track record of shipping models that improve business metrics
• BS/MS in Computer Science, Machine Learning, or related field

Want to accelerate your career? Apply now!

Since day one, we've been committed to having a diverse, inclusive team and culture. We are proud to be an Equal Employment Opportunity company. We value diversity, equity, and inclusion.

We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Engineering and Information Technology

Industries

• Advertising Services

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Principal Machine Learning Engineer, Ad Performance

Join to apply for the Principal Machine Learning Engineer, Ad Performance role at Launch Potato.

Who we are: Launch Potato is a profitable digital media company that reaches 30M+ monthly visitors through brands such as FinanceBuzz, All About Cookies, and OnlyInYourState. As The Discovery and Conversion Company, our mission is to connect consumers with the world’s leading brands through data-driven content and technology. Headquartered in South Florida with a remote-first team spanning over 15 countries, we’ve built a high-growth, high-performance culture where speed, ownership, and measurable impact drive success.

Why join us: At Launch Potato, you’ll accelerate your career by owning outcomes, moving fast, and driving impact with a global team of high-performers.

MUST HAVE

• Expertise building ML systems with deep expertise in large-scale personalization
• Recognized industry expertise through patents, publications, or significant product impact
• Proven success architecting ML platforms serving billions of predictions in production
• Demonstrated track record of 0→1 innovation in personalization or recommender systems
• Mastery across multiple ML domains including deep learning, causal inference, multi-armed bandits, and graph-based models

EXPERIENCE

10+ years designing, developing, and deploying large-scale machine learning systems with a focus on personalization

YOUR ROLE

Establish the technical vision for personalization at Launch Potato, solving the company’s most complex ML challenges and influencing strategy, architecture, and innovation across teams.

OUTCOMES

• Define company-wide personalization strategy and architecture, driving alignment across all ML teams
• Solve critical technical challenges such as cold start, real-time learning, and exploration/exploitation tradeoffs
• Design and implement advanced ML solutions using cutting-edge techniques (e.g., graph neural networks, causal models, bandit algorithms)
• Create and enforce ML architecture patterns, design standards, and reusable infrastructure across teams
• Lead multi-quarter, cross-functional initiatives that redefine how personalization impacts business KPIs
• Act as technical mentor to senior ML engineers, guiding complex decision-making and scaling team capability
• Represent Launch Potato’s technical brand externally through speaking engagements, open source contributions, or publications
• Champion privacy-preserving personalization, responsible AI practices, and adaptive learning systems

COMPETENCIES

• Visionary Thinking: Defines the future state of ML infrastructure and personalization strategy. Balances deep technical rigor with a strong understanding of product impact.
• Architectural Excellence: Designs scalable, modular systems that support billions of predictions and enable rapid experimentation. Sets high standards for maintainability and performance.
• Technical Influence: Drives decision-making and builds consensus across teams and stakeholders without direct authority. Provides trusted guidance in ambiguous situations.
• Expert-Level Execution: Navigates deep technical complexity while maintaining execution velocity. Translates research insights into production-ready solutions.
• Mentorship & Leadership: Coaches senior engineers, facilitates technical reviews, and raises the technical bar for the entire organization.
• External Thought Leadership: Represents LP in the ML community and contributes to growing its reputation as a leader in ML innovation.
• Curious & Forward-Looking: Constantly explores new approaches to personalization and actively prototypes cutting-edge methodologies.

We are proud to be an Equal Employment Opportunity company. We value diversity, equity, and inclusion. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, disability status, or other legally protected characteristics.

Employment type: Full-time | Seniority level: Director

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A Job? Or a Lifetime Experience? Start Yours Here!

Our mission is to be a meaningful part of our people's careers. As we grow, so does our determination to offer the best experience to our employees and clients — and that’s exactly what drives us. We are a Portuguese technology consulting company with offices in Lisbon, Porto and Óbidos, and representations in Brazil and Tunisia. We have over 12 years of market expertise, and today we are a universe of around 400 people working on-site, remotely or in hybrid mode in projects across 20+ countries.

We believe that great people make successful companies, and that’s why we stand for the appreciation, recognition and growth of our professionals.

We don’t want to be just another line on your CV — we want you to live a Lifetime Experience with us. We invest in training and certifications that confirm your real progression, in promoting a healthy work-life balance, and in offering benefits that impact your personal life and career.

#welcometoyourfuture

What we’re looking for:

• 5+ years in Data Engineering , ML or MLOps roles (with ML/AI in production)
• Strong Python skills (CI/CD, API deployment, data workflows)
• Experience with Docker , Kubernetes , GitLab CI , Jenkins
• Hands-on with MLOps tools (e.g., MLflow, DVC), cloud or hybrid environments
• Deep understanding of ML lifecycle, governance, and operational challenges
• Clear communication and ownership mindset. Comfortable leading cross-functional projects
• English : Professional working proficiency required (B2/C1)

Nice to have :

• Coding : Bash / YAML / SQL
• Experience of developing and deploying Agentic tools
• Experience working with security teams or implementing IAM and data protection policies
• French B2

Being Affinity

• #Affinity – Creating close and empathetic relationships with colleagues, clients and candidates (and not just with technologies, languages and platforms). Team spirit and good vibes;

• #Ambition – Wanting to do more and better. A drive to exceed expectations and evolve personally and professionally;

• #Action – Energy to make things happen. Showing proactiveness and initiative;

• #Learning – Willingness to grow individually and collectively and to become an expert in the tech market;

• #Assertiveness – Transparent and honest communication, always with constructive feedback.

Your #LifetimeExperience

• Taking part in national and international projects in a company based on personal relationships, simplicity and efficiency, with a disruptive approach to the tech market;

• Accessing a career and training plan tailored to your performance and interests;

• Being part of a welcoming, trustworthy, respectful and informal environment;

• Joining our Affinity Communities (sports, tech, hobbies, etc.) and actively participating in social and environmental responsibility projects;

• Taking advantage of a range of benefits, partnerships, discounts, events and internal dynamics.

Beyond your professional satisfaction, we want to offer you memorable moments of leisure and connection, worthy of an Affinity experience.

Join the Experience!

Send us your application and take the opportunity to get to know us and follow along at:

A Job? Or a Lifetime Experience? Start Yours Here!

Our mission is to be a meaningful part of our people's careers. As we grow, so does our determination to offer the best experience to our employees and clients — and that’s exactly what drives us. We are a Portuguese technology consulting company with offices in Lisbon, Porto and Óbidos, and representations in Brazil and Tunisia. We have over 12 years of market expertise, and today we are a universe of around 400 people working on-site, remotely or in hybrid mode in projects across 20+ countries.

We believe that great people make successful companies, and that’s why we stand for the appreciation, recognition and growth of our professionals.

We don’t want to be just another line on your CV — we want you to live a Lifetime Experience with us. We invest in training and certifications that confirm your real progression, in promoting a healthy work-life balance, and in offering benefits that impact your personal life and career.

#welcometoyourfuture

What we’re looking for:

• 5+ years in Data Engineering , ML or MLOps roles (with ML/AI in production)
• Strong Python skills (CI/CD, API deployment, data workflows)
• Experience with Docker , Kubernetes , GitLab CI , Jenkins
• Hands-on with MLOps tools (e.g., MLflow, DVC), cloud or hybrid environments
• Deep understanding of ML lifecycle, governance, and operational challenges
• Clear communication and ownership mindset. Comfortable leading cross-functional projects
• English : Professional working proficiency required (B2/C1)

Nice to have :

• Coding : Bash / YAML / SQL
• Experience of developing and deploying Agentic tools
• Experience working with security teams or implementing IAM and data protection policies
• French B2

Being Affinity

• #Affinity – Creating close and empathetic relationships with colleagues, clients and candidates (and not just with technologies, languages and platforms). Team spirit and good vibes;

• #Ambition – Wanting to do more and better. A drive to exceed expectations and evolve personally and professionally;

• #Action – Energy to make things happen. Showing proactiveness and initiative;

• #Learning – Willingness to grow individually and collectively and to become an expert in the tech market;

• #Assertiveness – Transparent and honest communication, always with constructive feedback.

Your #LifetimeExperience

• Taking part in national and international projects in a company based on personal relationships, simplicity and efficiency, with a disruptive approach to the tech market;

• Accessing a career and training plan tailored to your performance and interests;

• Being part of a welcoming, trustworthy, respectful and informal environment;

• Joining our Affinity Communities (sports, tech, hobbies, etc.) and actively participating in social and environmental responsibility projects;

• Taking advantage of a range of benefits, partnerships, discounts, events and internal dynamics.

Beyond your professional satisfaction, we want to offer you memorable moments of leisure and connection, worthy of an Affinity experience.

Join the Experience!

Send us your application and take the opportunity to get to know us and follow along at:

A Job? Or a Lifetime Experience? Start Yours Here!

Our mission is to be a meaningful part of our people's careers. As we grow, so does our determination to offer the best experience to our employees and clients — and that’s exactly what drives us. We are a Portuguese technology consulting company with offices in Lisbon, Porto and Óbidos, and representations in Brazil and Tunisia. We have over 12 years of market expertise, and today we are a universe of around 400 people working on-site, remotely or in hybrid mode in projects across 20+ countries.

We believe that great people make successful companies, and that’s why we stand for the appreciation, recognition and growth of our professionals.

We don’t want to be just another line on your CV — we want you to live a Lifetime Experience with us. We invest in training and certifications that confirm your real progression, in promoting a healthy work-life balance, and in offering benefits that impact your personal life and career.

#welcometoyourfuture

What we’re looking for:

• 5+ years in Data Engineering , ML or MLOps roles (with ML/AI in production)
• Strong Python skills (CI/CD, API deployment, data workflows)
• Experience with Docker , Kubernetes , GitLab CI , Jenkins
• Hands-on with MLOps tools (e.g., MLflow, DVC), cloud or hybrid environments
• Deep understanding of ML lifecycle, governance, and operational challenges
• Clear communication and ownership mindset. Comfortable leading cross-functional projects
• English : Professional working proficiency required (B2/C1)

Nice to have :

• Coding : Bash / YAML / SQL
• Experience of developing and deploying Agentic tools
• Experience working with security teams or implementing IAM and data protection policies
• French B2

Being Affinity

• #Affinity – Creating close and empathetic relationships with colleagues, clients and candidates (and not just with technologies, languages and platforms). Team spirit and good vibes;

• #Ambition – Wanting to do more and better. A drive to exceed expectations and evolve personally and professionally;

• #Action – Energy to make things happen. Showing proactiveness and initiative;

• #Learning – Willingness to grow individually and collectively and to become an expert in the tech market;

• #Assertiveness – Transparent and honest communication, always with constructive feedback.

Your #LifetimeExperience

• Taking part in national and international projects in a company based on personal relationships, simplicity and efficiency, with a disruptive approach to the tech market;

• Accessing a career and training plan tailored to your performance and interests;

• Being part of a welcoming, trustworthy, respectful and informal environment;

• Joining our Affinity Communities (sports, tech, hobbies, etc.) and actively participating in social and environmental responsibility projects;

• Taking advantage of a range of benefits, partnerships, discounts, events and internal dynamics.

Beyond your professional satisfaction, we want to offer you memorable moments of leisure and connection, worthy of an Affinity experience.

Join the Experience!

Send us your application and take the opportunity to get to know us and follow along at: