195 Empregos para Inteligência artificial - João Pessoa

Prazer, somos a Huna!
- Deeptech brasileira construindo o futuro do diagnóstico precoce de câncer para 99% da humanidade usando inteligência artificial e exames de rotina!
:) Construímos tecnologias robustas, éticas e responsáveis para ampliar o acesso à saúde… e que bom que você quer fazer parte dessa trajetória com a gente!
:) Estamos contratando para vaga de PESSOA ENGENHEIRA DE MACHINE LEARNING (MLOps) (Pleno) - até dia 21 de Março!
Esta é uma vaga full-time e remote-first , com preferência para candidatos baseados em São Paulo (Capital e RM) e Rio de Janeiro.
É importante ter disponibilidade para viagens ocasionais (e alguns eventos nas sedes da empresa em ambas cidades).

1. Pesquisar e implementar algoritmos e ferramentas de Machine Learning apropriados para resolver problemas específicos na área da saúde, como diagnóstico auxiliado por IA, previsão de riscos, personalização de tratamentos e análise de imagens médicas;
2. Desenvolver aplicações de Machine Learning de acordo com os requisitos, utilizando linguagens de programação como Python e bibliotecas como TensorFlow, PyTorch e Scikit-learn;
3. Estudar e transformar protótipos de ciência de dados em soluções escaláveis e robustas;
4. Ampliar bibliotecas e estruturas de ML existentes para atender às necessidades específicas das aplicações;
5. Selecionar conjuntos de dados apropriados para treinar os modelos de Machine Learning, realizando a limpeza, a transformação e a preparação dos dados;
6. Escolher métodos de representação de dados eficazes para otimizar o desempenho dos modelos;
7. Realizar análises estatísticas e ajustes finos nos modelos, utilizando resultados de testes para melhorar a acurácia e a eficiência;
8. Treinar e retreinar os sistemas de Machine Learning quando necessário, utilizando técnicas de aprendizado supervisionado, não supervisionado e por reforço;
9. Otimizar os modelos para garantir o desempenho, a escalabilidade e a eficiência em ambientes de produção.

1. Formação em Ciência da Computação, Engenharia, Estatística ou áreas correlatas.
2. Experiência mínima de 2 (dois) anos na função.
3. Experiência com linguagens de programação como Python e bibliotecas de Machine Learning como TensorFlow, PyTorch e Scikit-learn.
4. Inglês avançado.
5. Conhecimento de algoritmos de Machine Learning, como regressão, classificação, clustering e deep learning.
6. Habilidade em processar e analisar grandes conjuntos de dados.
7. Familiaridade com ferramentas de controle de versão, como Git.
8. Disponibilidade para viagens eventuais.

1. Pós-Graduação (Mestrado ou Doutorado - completa ou em andamento) em áreas correlatas.
2. Conhecimento de processamento de linguagem natural (PNL) ou visão computacional.
3. Familiaridade com plataformas de cloud computing, especialmente GCP, AWS ou Azure.
4. Experiência prévia (acadêmica ou profissional) com manipulação de dados clínicos/médicos e/ou vivência no setor de saúde.

1. Remuneração compatível com o mercado.
2. Benefício flexível (Caju).
3. Benefício de saúde (Gympass).
4. Benefício de educação.
5. Possibilidade de participar de programa de S.O.P.
6. Rotina remote-first (remoto preferencial).
7. Short-Fridays.
8. Flexibilidade de horários na rotina.
9. Day-off de aniversário.
10. Emendas de feriados nacionais.

> Se você acha que essa vaga é a sua cara, inscreva-se na vaga diretamente pelo ou por email ***.
> Se conhece alguém que se encaixa no perfil, compartilhe!
LEMBRETE: O prazo vai até dia 21 de Março.
Somente candidatos selecionados receberão feedback para as próximas etapas.
:)

Employment type:

B2B

Operating mode:

Remote

Location:

We help companies gain a competitive edge by delivering customized AI solutions. Our mission is to empower our clients to unlock the full potential of AI.

We are specialized in key technologies such as LLM & RAG, MLOps, Edge Solutions, Computer Vision, and Natural Language Processing.

Our team of 120 world-class AI experts has worked on 200+ commercial and R&D projects with companies such as Unstructured, Google, Brainly, DocPlanner, B-Yond, Zebra Technologies, Hexagon, and many more.

• Team Strength – sharing and exchanging knowledge is key to our daily work
• Accountability – we take responsibility for the tasks entrusted to us so that ultimately the client receives the best possible quality
• Balance – we value work-life balance
• Commitment – we want you to be fully part of the team
• Openness – we don’t want you to be locked into one solution, we want to look for alternatives, explore new possibilities

Join our dynamic team as a Machine Learning Engineer and embark on a journey of innovation at the intersection of data science and cloud computing. We are seeking a talented individual who is passionate about leveraging cutting-edge technologies to drive business insights and solutions. If you’re excited about pushing the boundaries of what’s possible with GenAI, we invite you to be part of our team of experts!

• Collaborate with data scientists and software engineers to integrate machine learning solutions into cloud-based applications.
• Continuously optimize and improve AI algorithms for performance and accuracy in a cloud environment.
• Automate and optimize model deployment following MLOps best practices.
• Engage in the development of cutting-edge Kubernetes-driven infrastructure.
• Work on system reliability and backend stability, always looking for details to be improved.
• Share knowledge through talks and workshops (internal and external).

• Bachelor’s or advanced degree in Computer Science or Engineering.
• Proven experience (3+ years) in software engineering, including experience with Python, Bash, Git, as well as Cloud services, and Linux.
• Proven experience (1+ years) in working with cloud (AWS/Azure preferred).
• Good understanding of system architecture (microservices, monoliths, REST API, DNS, caching).
• Familiarity with Docker, Kubernetes, and cloud platforms for ML deployment.
• Strong Python skills and familiarity with other object-oriented languages.
• Very effective communication skills, both written and verbal.
• Ability to solve problems and communicate complex ideas effectively.

• Basic understanding of machine learning algorithms.
• Keen interest for Generative AI and Large Language Models (LLMs).
• Previous startup experience.

• Opportunity to work on cutting-edge AI projects with a diverse range of clients and industries, driving solutions from development to production.
• Collaborative and supportive work environment, where you can grow and learn from a team of talented professionals.
• An opportunity to participate in conferences and workshops.
• An opportunity to participate in Tech Talks (internal training and seminar sessions).
• Remote work options and travel to European headquarters available.

• Medical package.
• Multisport cards.
• Lunch provided.
• Kitchens stocked with fruit and veggies twice a week.
• Monthly integration budget.
• Company library (online and offline).
• Fun room.

Lateral stands for technology excellence.

We’re a profitable, award-winning design and technology company with over 20 years of experience launching bold ventures and transforming businesses. A globally distributed team of 200+ experts united by a shared purpose: the continuous pursuit of quality.

Our clients come to us for results, quality and craft - and stay because we keep raising the bar.

Our mission is simple:design and build great products .
What sets us apart isn’t just the talent of our team -it’sthe way we work:

We Have A Bias For Action & Results.

We are doers - we spot the gaps, connect the dots, anticipate what’s around the corner and take action. We move fast, stay focused, and let the results -not the effort -speak for themselves.

We Work On Time, On Budget, On Quality

Discipline is our edge - a commitment we make to each other, to our clients, and to the standards we hold ourselves to.

We Care Deeply.

We care about our work and about each other. Care Is A Competitive Advantage.

Every detail matters. Every design, every line of code, every decision. Thoughtful by default.

We Do Things Right -Because It’s the Right Thing to Do

Right over easy. Integrity isn’t up for negotiation. We hold the bar high even when no one’s watching. We take pride in doing great work the right way -not the easy way.

We Keep Improving

The best teams keep improving and we’re never done learning.

We iterate. We reflect on what’s working and what’s not. Feedback fuels us, we receive it openly, and adapt quickly. Progress over perfection.

We’re Obsessed With Agility, Not The Agile Manifesto

We don’t chase dogma or rituals -we chase momentum. We adapt processes to fit problems, not the other way around.

We Take Ownership
Everyone leads something here. You will have room to run with ideas, and the trust to execute. That trust is built on how you show up: thinking things through, sweating the details, and following through.

Our MLOps offering focuses on building and maintaining the robust infrastructure essential for our cutting-edge AI solutions. As a ML Ops Engineer at Lateral, you will be crucial in ensuring the smooth operation and scalability of our AI initiatives through a variety of critical tasks:

• Infrastructure Management: You will be responsible for defining and proposing an infrastructure management stack that drives business objectives.

• Troubleshooting and Optimization: You will help identify and mitigate AI infrastructure issues and implement features to improve model training speed on specific hardware.

• Platform Evaluation and Implementation: You will evaluate and implement new AI training and development platforms.

• Automation and Orchestration: Your responsibilities will include automating model training and checkpointing using MLOps tools, and maintaining containerization tools (Docker, Singularity) for reproducibility.

• Deployment and Lifecycle Management: You will facilitate the transfer and replication of models from R&D to production environments, manage the model lifecycle, implement model tracking, and ensure infrastructure remains compatible with evolving training packages (e.g., CUDA, PyTorch, drivers). This includes proactively updating packages and resolving compatibility issues to avoid regressions in training workflows.

We’re seeking pragmatic infrastructure engineers who love solving deep tech problems and enabling great ML work. You’ll thrive in this role if you bring:

• 5+ years of hands-on experience with ML Ops tools such as SLURM, MLflow, Kubeflow, SageMaker, or Vertex AI.

• Experience managing Kubernetes clusters and distributed training workloads at scale.

• Proficiency with containerization (Docker, Singularity) and reproducible ML environments.

• Familiarity with popular deep learning frameworks (PyTorch, TensorFlow) and how they operate at infra level.

• Solid understanding of model lifecycle best practices (training, validation, deployment, tracking).

• Strong scripting and automation skills in Python, Bash, or similar.

• Comfort working closely with ML researchers to translate needs into scalable, production-grade systems.

• A proactive mindset: you're excited to take ownership of infra problems others avoid.

Bonus points for:

• Experience with multi-node, hardware-optimized training setups (e.g. GPU clusters, TPUs).

• Contributions to internal tools or open-source projects in the ML Infra space.

• Prior experience helping bring ML systems through regulatory, safety, or quality review stages.

• Real Impact: You’ll work on meaningful products that make a measurable difference - from healthcare and commerce to sustainability and next-gen tech.
  
  

• Remote-First, Office Friendly: Work from wherever you’re most productive - whether that’s your home, a co-working space, or one of our offices. We’re a remote-first company, but if you’re near an office, you’re welcome to drop in, collaborate in person, or work onsite regularly.
  
  We prioritize async collaboration, respect your time zone, and focus on outcomes over hours.
  
  

• An Outstanding Team: Talented, kind, and hard-working people who care deeply about their craft - and about each other. No egos. No politics. Just professionals doing their best work.
  
  

• Growth: You’ll be supported in growing your craft, exploring new paths, and stepping into greater responsibility -at your own pace
  
  

• A Culture of Excellence: We care deeply about doing the right thing -for our clients, our team, and ourselves. No burnout. No crunch. Just high-quality work, delivered sustainably.
  
  

• Variety & Stability: We’re profitable, independent, and over a decade strong. Yet every project brings a fresh challenge. You’ll never be bored here.

We want to respect your time by being clear about what this role isn’t. You should skip this opportunity if:

• You prefer well defined structure. If you gravitate towards a clear hierarchy, well defined roles and swim lanes, you may find our self-managed style challenging.
  
  

• Distributed work isn’t your thing. If you find async communication, design documentation and being proactive without a manager nearby difficult, our setup won’t suit you.
  
  

• Feedback doesn't excite you. We’re obsessed with quality and believe in continuous improvement. That means we give feedback that’s sometimes nitpicky. If refining the work until it’s excellent feels over the top, you are likely going to find working here frustrating.
  
  

• Change makes you uncomfortable. We’re scaling and maturing. That means not everything is perfect yet. Priorities shift. Processes evolve. If ambiguity is uncomfortable, this may feel bumpy.
  
  

However, If this sounds like fuel, we’d love to talk!

Our hiring process is structured as a sequence of steps. Moving forward is based on how well the previous step goes. This helps us stay focused, fair, and respectful of everyone’s time.

We will always:

• Let you know clearly what the next step is

• Share updates and feedback wherever possible

• Invite questions if anything feels unclear

Not everyone progresses through every stage. That doesn’t mean you’re not great at what you do. Sometimes it’s about timing, team fit, or simply what we’re looking for at the moment.

If this sounds like your kind of team and you’re ready to bring your craft to Lateral, we want to hear from you.

Please send us:

• Yourresume

• Ashort note about what excites you about this role

• Links to your work : GitHub/ Code snippets, portfolio, architecture /design docs, blog posts, oranything that shows us how you think and build
  
  Please don’t include anything sensitive or proprietary.
  If you’re sharing team projects, let us know what your specific contributions were.

We review every application with care. If there’s a fit, we’ll reach out to schedule next steps.

Purpose: A structured discussion with our People Experience team to delve into your career trajectory, motivations, and alignment with Lateral's values.

What to Expect:

• In-depth questions about your past experiences and decision-making processes.

• Exploration of your career goals and how they align with the role.

• Discussion about our company culture, availability, compensation and other logistics

• Motivators and demotivators.

• Your life outside coding.

Preparation Tips:

• Reflect on your career journey and pivotal moments.

• Be ready to discuss challenges you've overcome and lessons learned.

• Familiarize yourself with the Job Description, Lateral's mission and values.

Purpose: Assess your technical proficiency and problem-solving abilities.
Format: A collaborative session with our engineering team, focusing on real-world scenarios relevant to the role.

What to Expect:

• Problem-solving exercises/questions that mirror tasks you'd encounter in the position.

• Discussions around your approach, reasoning, and solutions.

Preparation Tips:

• Practice articulating your thought process clearly and concisely.

• Be prepared to discuss in depth past projects and the technologies used.

Purpose: Evaluate how well you collaborate, communicate, and consult with external stakeholders.

Format: A live conversation with one of our client-side collaborators

What to Expect:

• Discussion around business and technical challenges from the client’s perspective.

• Opportunity to explain your approach, gather requirements, ask clarifying questions, and articulate tradeoffs.

• Evaluation of how clearly you communicate solutions to both technical and non-technical stakeholders.

Preparation Tips:

• Once client details are shared, educate yourself with their business and potential challenges

• Review past experiences where you’ve had to communicate complex ideas clearly.

• Reflect on your ability to lead conversations, guide decision-making, and build trust across different audiences.

Purpose: Understand your approach to prioritizing, collaborating, shipping, and iterating.

What to expect:

• How you prioritize and break down work.

• How you collaborate across disciplines.

• How you handle blockers, feedback, and iteration.

Preparation Tips:

• Pick 1-2 meaningful projects you led or heavily contributed to.

• Walk through your process: what worked, what didn’t, what you’d do differently.

• Think about how you manage time, scope, and changing requirements.

Purpose: We believe references are about understanding, not just validation. We do not look for perfection, but to understand patterns, strengths, and context. We use them to learn how to support you best.

What to Expect: we’ll ask you for 2–3 people who’ve worked closely with you. These are often: former managers, senior peers or collaborators, mentors or people you've mentored.

What we ask: We focus on how you’ve grown, where you shine, how you like to be led, and what support sets you up for success. We want practical advice for making this a great fit for you.

Yes, we do backchannels too: We do thiswhen we feel we need more context . We will check with you if there are folks we should avoid reaching out due to confidentiality or other reasons. Andhere’s our commitment: if anything surprising or unclear comes up in a backchannel, we’ll bring it directly to you. We believe in “no stories without you in the room .” You’ll always get the chance to share your side, context, or clarification.

What Happens: If selected, you'll receive a comprehensive offer detailing compensation, and other pertinent information.

Our hiring process is designed to be thorough yet respectful, ensuring a mutual fit. We encourage candidates to engage actively, ask questions, and view this as a two-way exploration.

Join us and let’s build something extraordinary.

WHO WE ARE

At Trustly, we're building a smarter, faster, and more secure financial future by revolutionizing the world of payments. As a global leader in Open Banking Payments, we are establishing Pay by Bank as the new standard at checkout, providing unparalleled freedom, speed, and ease to millions of consumers and merchants worldwide.

Our Ambition: To build the world’s most disruptive payment network and redefine what the payment experience should feel like.

Trustly is a global team of innovators, collaborators, and doers. If you are driven by a strong sense of purpose and thrive in a dynamic, entrepreneurial, and high-growth environment, join us and be part of a team that’s transforming the way the world pays.

About the role

We are seeking a skilled and go-getter Sr. Machine Learning Engineer to join our Data Science team and play a pivotal role in driving the model development/production lifecycle. The ideal candidate will collaborate closely with Data Scientists, MLOps, and DataOps teams to implement ML models for assessing transactional risk and fraud, enable automated model retraining, and support robust machine learning inference systems. This role is essential for ensuring efficient, reliable, and scalable workflows to power data-driven insights and machine learning solutions.

What you will do:

• Model Development and Optimization: Design the data-architecture flow for the efficient implementation of real-time model endpoints and/or batch solutions.
• Data Exploration and Feature Engineering: Engineer domain-specific features that can enhance model performance and robustness.
• Productionization of ML Models: Build pipelines to deploy machine learning models in production with a focus on scalability and efficiency, and participate in and enforce the release management process for models and rules.
• Monitoring, Maintenance & Improvement: Implement systems to monitor model performance, endpoints/feature health, and other business metrics; Create model-retraining pipelines to boost performance, based on monitoring metrics; Model recalibration.
• Scalable System Design: Design and implement scalable architectures to support real-time/batch solutions; Optimize algorithms and workflows for latency, throughput, and resource efficiency; Ensure systems adhere to company standards for reliability and security.
• Innovation and Continuous Improvement: Conduct research and prototypes to explore novel approaches in ML engineering for addressing emerging risk/fraud patterns.
• Collaborative Problem Solving: Partner with fraud analysts, risk managers, and product teams to translate business requirements into ML solutions.

Who you are:

• Bachelor’s or Master’s degree in CS/Engineering/Data-Science or other technical disciplines.
• Solid experience in DS/ML engineering.
• Proficiency in programming languages such as Python, Scala, or Java.
• Hands-on experience in implementing batch and real-time streaming pipelines, using SQL and NoSQL database solutions
• Familiarity with monitoring tools for data pipelines, streaming systems, and model performance.
• Experience in AWS cloud services (Sagemaker, EC2, EMR, ECS/EKS, RDS, etc.).
• Experience with CI/CD pipelines, infrastructure-as-code tools (e.g., Terraform, CloudFormation), and MLOps platforms like MLflow.
• Experience with Machine Learning modeling, notably tree-based and boosting models supervised learning for imbalanced target scenarios.
• Experience with Online Inference, APIs, and services that respond under tight time constraints.
• Proficiency in English.

Nice to have:

• Prior experience with ML applied to financial decision-making, such as credit risk, and fraud prevention.
• Prior experience with AWS Sagemaker and/or similar DS/ML workbench.
• Proficiency in containerization and orchestration tools such as Docker and Kubernetes.
• Feature store development and integration experience.
• Experience with distributed data systems such as Kafka, Spark, Hadoop, and workflow/data orchestration tools (e.g., Airflow).

Our perks and benefits:

• Bradesco health and dental plan, for you and your dependents, with no co-payment cost;
• Life insurance with differentiated coverage;
• Meal voucher and supermarket voucher;
• Home Office Allowance;
• Team Allowance;
• Wellhub - Platform that gives access to spaces for physical activities and online classes;
• Trustly Club - Discount at educational institutions and partner stores;
• English Program - Online group classes with a private teacher;
• Extended maternity and paternity leave;
• Birthday Off;
• Flexible hours/Home Office - our culture is remote-first! You can work in every city in Brazil;
• Welcome Kit - We work with Apple equipment (Macbook Pro, iPhone) and we send many more treats! Spoiler alert: Equipment can be purchased by you according to internal criteria!;
• Annual premium - As a member of our team, you are eligible to receive an annual bonus, at the company's discretion, based on the achievement of our KPIs and individual performance;
• Referral Program - If you refer a candidate and we hire the person, you will receive a reward for that!

At Trustly, we embrace and celebrate diversity of all forms and the value it brings to our employees and customers. We are proud and committed to being an Equal Opportunity Employer and believe an open and inclusive environment enables people to do their best work. All decisions regarding hiring, advancement, and any other aspects of employment are made solely on the basis of qualifications, merit, and business need.

3 weeks ago Be among the first 25 applicants

WHO ARE WE?

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.

What You'll Do

• 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)

What We're Looking For

• 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

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

We are an Equal Opportunity employer. We are committed to building a diverse team and inclusive culture.

Overview

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

Headquartered in South Florida with a remote-first team spanning over 15 countries, 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.

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.

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.

• Build and deploy ML models serving 100M+ predictions daily
• Develop ranking algorithms that balance relevance, diversity, and revenue
• Implement real-time personalization features with <50ms latency requirements
• 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

• 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

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

Overview

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

1 week ago Be among the first 25 applicants.

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.

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

As our Principal ML Engineer, you'll be the technical visionary for our personalization and optimization systems. This is an individual contributor role for a deep technical expert who will define our ML architecture, solve our hardest technical challenges, and influence ML strategy across the company.

• Design company-wide personalization architecture and strategy
• Solve complex technical challenges (cold start, exploration/exploitation, real-time learning)
• Research and implement state-of-the-art ML techniques
• Define standards and patterns used across all ML teams
• Lead cross-functional initiatives spanning multiple quarters
• Mentor senior engineers and review critical technical decisions
• Represent the company in the external ML community

• 10+ years building ML systems, with deep personalization expertise
• Recognized expert in ML systems (publications, patents, or industry impact)
• Experience architecting ML platforms serving billions of predictions
• Track record of 0→1 innovation in personalization systems
• Expertise in multiple approaches (deep learning, bandits, causal ML, graph methods)
• Ability to influence without authority and drive consensus
• Exceptional communication skills for technical and executive audiences

• Advanced ML architectures at scale
• Real-time ML systems and edge deployment
• Multi-stakeholder marketplace optimization
• Online learning and adaptive systems
• Privacy-preserving personalization

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.

Netrix Global is looking for an AWS Machine Learning Engineer for the Professional Services – Data Intelligence department. The Machine Learning Engineer act as critical members of the data science team. Their tasks involve researching, building, and designing the artificial intelligence responsible for machine learning and maintaining and improving existing artificial intelligence systems.
Often, an AWS Machine Learning Engineer will also serve as a critical communicator between other data science team members, working directly with the data scientists who develop the models for building AI systems and the people who construct and run them.

Our team works remote base, in a collaborative environment. We have a strong team with opportunities to expand their skillsets and gain further knowledge across multiple parts of the organization.

• Design, build, and optimize data workflows for Machine Learning and GenAI solutions in cloud environments.


• Develop and deploy Machine Learning and Generative AI (GenAI) models using AWS SageMaker.


• Create and manage data and model pipelines to improve the efficiency of AI and machine learning systems.


• Prepare and structure data for advanced AI and GenAI solutions.


• Ensure seamless integration of data and AI solutions within cloud architectures, including data security and governance aspects.


• Document and rigorously test models and workflows to meet accuracy and performance requirements.


• Monitor and enhance the performance of Machine Learning models and services in production.


• Manage Data Lake architectures, tailoring data to the needs of Machine Learning and GenAI workloads. (Desired)

• Proven experience as a Machine Learning Engineer or in Data Science roles, with strong skills in data pipelines and Machine Learning model development.


• Experience working in cloud environments (AWS) for at least 2 years.


• Solid proficiency in Python and machine learning libraries such as TensorFlow, PyTorch, or similar.


• Advanced English level.


• Experience using SageMaker and other AWS data services: S3, AWS Glue, Athena.


• Experience with Generative AI models and deploying them in production.


• Proficiency in DevOps tools (Git, pipelines) and infrastructure as code (Terraform, CloudFormation).


• Ability to work in Agile teams under Scrum methodology.

Argentina (any part of the country it's great for us!)

9 a.m to 6 p.m from Monday to Friday

• Swiss Medical: SMG-30 (family members included).


• AWS certifications.


• 99% discount in Mercado Pago payments.


• Internet and connectivity.


• Competitive salary and benefits.


• English in company.


• Ability to work remotely.


• An awesome learning environment for you to develop.

At Netrix Global our values are the philosophies and principles that we live by. They support our vision, help us achieve our goals and commit us to a common purpose. We Own Outcomes, Win Together, Make An Impact, Enjoy The Journey, and Respect All!

We offer a competitive compensation package, comprehensive group benefits to meet the needs of you and your family, flexibility, and time off when you need it, and a casual work environment. The role can be remote/home office, with some travel required.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, disability, veteran status, or any other protected characteristic. Our hiring, promotion and compensation processes are based on merit, skills, and qualifications, to ensure a fair and unbiased approach for our candidates and employees. As part of this commitment, we will ensure that persons with disabilities are provided reasonable accommodations. If you need a reasonable accommodation, please let us know by contacting To learn more about Netrix Global please go to

• Mid-Senior level

• Full-time

• Engineering and Information Technology

• IT Services and IT Consulting

Na Premiersoft, transformamos desafios em soluções. Com mais de uma década de pioneirismo em desenvolvimento mobile, somos movidos por um propósito claro: criar experiências tecnológicas que impulsionam o crescimento e a transformação dos nossos clientes. Nosso time, formado por mais de 200 #Heroes, combina expertise técnica com o nosso DNA: Team Player , Growth Driven e Problem Solver . Somos movidos por desafios, focados na inovação e comprometidos com a excelência em tudo o que fazemos.

Sobre a oportunidade:

Estamos em busca de um Machine Learning Engineer para integrar um dos times mais estratégicos do nosso cliente: a área de Inovação e Inteligência Artificial. Essa posição é ideal para quem tem paixão por automação, domínio de pipelines de ML e deseja trabalhar com modelos de alto impacto em ambientes produtivos.

Você será responsável por:

• Desenvolver, orquestrar e automatizar pipelines de machine learning, assegurando escalabilidade, governança e reprodutibilidade dos modelos;
• Criar e manter fluxos de treinamento e re-treinamento de modelos, garantindo eficiência e performance;
• Automatizar processos de deploy utilizando práticas modernas de CI/CD;
• Orquestrar o versionamento de modelos em produção, com monitoramento contínuo de desempenho;
• Atuar em colaboração com os times de dados e engenharia para garantir robustez nas soluções;
• Aplicar boas práticas de rastreabilidade, segurança e governança de modelos de machine learning.
  
  

• Experiência comprovada com MLOps em produção;
• Vivência com ferramentas como Kubeflow, MLflow, Airflow ou Prefect;
• Domínio em Python e bibliotecas como Scikit-learn, TensorFlow ou PyTorch;
• Conhecimento em deploy e versionamento de modelos;
• Experiência com cloud computing (AWS, Azure ou GCP);
• Familiaridade com CI/CD aplicado a ML;
• Inglês técnico (intermediário a avançado).
  
  

• Experiência com monitoramento de modelos (drift, A/B testing);
• Conhecimentos em engenharia de dados.
  
  

• Cultura aberta a ideias, inovação e crescimento.
• Foco na excelência das entregas e na geração de impacto.
• Valorização do aprendizado contínuo e do desenvolvimento profissional.
  
  

• Cartão Flash;
• Plano de Saúde Unimed;
• Inglês gratuito 2x por semana;
• Convênio com clinica de saúde mental.
  
  

São Paulo, São Paulo, Brazil 5 months ago