47 Empregos para Inteligência artificial - Porto Alegre
Senior Machine Learning Engineer
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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.
- 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.
- 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.
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 ThoughtworksThoughtworks 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.
#J-18808-LjbffrEstágio em Machine Learning
Publicado há 4 dias atrás
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Descrição Do Trabalho
Responsibilities
- Contribuir em projetos voltados à pesquisa e desenvolvimento de sistemas de aprendizado de máquina;
- Auxiliar nas etapas de processamento e análise de dados para aprimoramento dos sistemas;
- Participar de reuniões técnicas junto à equipe de desenvolvimento;
- Investigar novas técnicas e ferramentas relacionadas a aprendizado de máquina;
- Apoiar na implementação de algoritmos e experimentos em Python;
- Colaborar com o grupo na evolução contínua dos sistemas, incluindo documentação e testes;
- Estar matriculado, a partir do segundo ano, em Ciência da Computação, Engenharia de Computação, Sistemas de Informação ou áreas afins;
- Interesse em aprendizagem de máquina;
- Sólidas noções de lógica de programação e algoritmos;
- Perfil curioso e investigativo;
- Desejável: Conhecimento básico em Python, Java e/ou C#;
- Inglês em nível intermediário.
- Internship
- Full-time
- Engineering and Information Technology
- Computer Hardware Manufacturing
- Software Development
- IT Services and IT Consulting
Lead Machine Learning Engineer
Publicado há 4 dias atrás
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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 usAt Launch Potato, you’ll accelerate your career by owning outcomes, moving fast, and driving impact with a global team of high-performers.
Your RoleLead 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)
- 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
- 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
- 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!
#J-18808-LjbffrSenior Machine Learning Engineer
Publicado há 5 dias atrás
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Descrição Do Trabalho
Join to apply for the Senior Machine Learning Engineer role at Launch Potato .
WHO WE ARELaunch 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 USAt Launch Potato, you’ll accelerate your career by owning outcomes, moving fast, and driving impact with a global team of high-performers.
YOUR ROLEYou 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
- 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
- Full-time
- Engineering and Information Technology
- Advertising Services
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#J-18808-LjbffrAnalista de Machine Learning
Publicado há 21 dias atrás
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Job description
PcDs são sempre bem-vindas.
Buscamos pessoas apaixonadas por tecnologia. Alguém que se motive por desafios e atue com autonomia. Precisa gostar de trabalhar em equipe e possuir espírito colaborativo.
Main responsibilities
- Desenvolver aplicações de IA generativa, utilizando frameworks como Langchain aplicando técnicas avançadas como RAG e Prompt Engineering, em nível sênior;
- Colaborar com equipes de pesquisa e desenvolvimento para integrar soluções de GenAI em produtos e serviços;
- Interpretar grandes conjuntos de dados para otimizar modelos de IA;
- Utilizar técnicas de Function Calling para aprimorar a funcionalidade e integração dos modelos de IA.
Requirements and skills
- Experiência prática na construção de aplicações de GenAI, em nível sênior;
- Conhecimento em frameworks como Langchain ou técnicas semelhantes como RAG;
- Experiência em Prompt Engineering, incluindo técnicas como ReAct e Chain-of-Thought;
- Habilidades avançadas em pelo menos uma das linguagens de programação a seguir: Python, C++, C# ou Java;
- Formação em Ciência da Computação, Engenharia ou área relacionada;
- Inglês avançado para conversação;
- É um diferencial experiência com modelos de linguagem pré-treinados, como GPT-3 ou similares;
- Possuir mestrado na área, ou estar cursando, também será um diferencial.
Additional information
“O Instituto de Pesquisas Eldorado valoriza um ambiente diversificado e se orgulha de ser uma organização que oferece oportunidades de forma igualitária. Todos que se candidatarem serão avaliados, independentemente de raça, deficiência, cor, religião, sexo, identidade ou expressão de gênero, orientação sexual, nacionalidade ou idade”.
#J-18808-Ljbffr
Senior Machine Learning Engineer
Publicado há 9 dias atrás
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Descrição Do Trabalho
O que esperamos
Visão sistêmica e foco na experiência do usuário.
Boa comunicação com áreas técnicas e não técnicas.
Proatividade para lidar com problemas complexos e propor soluções inovadoras.
Experiência comprovada com Google Cloud Platform (GCP), principalmente com Vertex AI.
Sólidos conhecimentos em frameworks de Machine Learning como TensorFlow, PyTorch, ou Scikit-learn.
Forte experiência em modelagem de dados e técnicas de aprendizado supervisionado e não supervisionado.
Experiência com MLOps e na criação de pipelines automatizados para ML.
Experiência com o uso de BigQuery, Dataflow, Pub/Sub, e outras ferramentas nativas do GCP.
Conhecimento de versionamento de modelos e controle de experimentos usando Vertex AI Pipelines e ML Metadata.
Familiaridade com práticas de DevOps e infraestrutura como código (Terraform, Cloud Deployment Manager).
Excelentes habilidades de comunicação para explicar conceitos complexos de ML a stakeholders não técnicos.
Vaga remota
Senior Machine Learning Engineer
Publicado há 9 dias atrás
Trabalho visualizado
Descrição Do Trabalho
O que esperamos
Visão sistêmica e foco na experiência do usuário.
Boa comunicação com áreas técnicas e não técnicas.
Proatividade para lidar com problemas complexos e propor soluções inovadoras.
Experiência comprovada com Google Cloud Platform (GCP), principalmente com Vertex AI.
Sólidos conhecimentos em frameworks de Machine Learning como TensorFlow, PyTorch, ou Scikit-learn.
Forte experiência em modelagem de dados e técnicas de aprendizado supervisionado e não supervisionado.
Experiência com MLOps e na criação de pipelines automatizados para ML.
Experiência com o uso de BigQuery, Dataflow, Pub/Sub, e outras ferramentas nativas do GCP.
Conhecimento de versionamento de modelos e controle de experimentos usando Vertex AI Pipelines e ML Metadata.
Familiaridade com práticas de DevOps e infraestrutura como código (Terraform, Cloud Deployment Manager).
Excelentes habilidades de comunicação para explicar conceitos complexos de ML a stakeholders não técnicos.
Vaga remota
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Senior Machine Learning Engineer
Publicado há 9 dias atrás
Trabalho visualizado
Descrição Do Trabalho
O que esperamos
Visão sistêmica e foco na experiência do usuário.
Boa comunicação com áreas técnicas e não técnicas.
Proatividade para lidar com problemas complexos e propor soluções inovadoras.
Experiência comprovada com Google Cloud Platform (GCP), principalmente com Vertex AI.
Sólidos conhecimentos em frameworks de Machine Learning como TensorFlow, PyTorch, ou Scikit-learn.
Forte experiência em modelagem de dados e técnicas de aprendizado supervisionado e não supervisionado.
Experiência com MLOps e na criação de pipelines automatizados para ML.
Experiência com o uso de BigQuery, Dataflow, Pub/Sub, e outras ferramentas nativas do GCP.
Conhecimento de versionamento de modelos e controle de experimentos usando Vertex AI Pipelines e ML Metadata.
Familiaridade com práticas de DevOps e infraestrutura como código (Terraform, Cloud Deployment Manager).
Excelentes habilidades de comunicação para explicar conceitos complexos de ML a stakeholders não técnicos.
Vaga remota
Senior Machine Learning Engineer
Publicado há 9 dias atrás
Trabalho visualizado
Descrição Do Trabalho
O que esperamos
Visão sistêmica e foco na experiência do usuário.
Boa comunicação com áreas técnicas e não técnicas.
Proatividade para lidar com problemas complexos e propor soluções inovadoras.
Experiência comprovada com Google Cloud Platform (GCP), principalmente com Vertex AI.
Sólidos conhecimentos em frameworks de Machine Learning como TensorFlow, PyTorch, ou Scikit-learn.
Forte experiência em modelagem de dados e técnicas de aprendizado supervisionado e não supervisionado.
Experiência com MLOps e na criação de pipelines automatizados para ML.
Experiência com o uso de BigQuery, Dataflow, Pub/Sub, e outras ferramentas nativas do GCP.
Conhecimento de versionamento de modelos e controle de experimentos usando Vertex AI Pipelines e ML Metadata.
Familiaridade com práticas de DevOps e infraestrutura como código (Terraform, Cloud Deployment Manager).
Excelentes habilidades de comunicação para explicar conceitos complexos de ML a stakeholders não técnicos.
Vaga remota
Senior Machine Learning Engineer
Publicado há 9 dias atrás
Trabalho visualizado
Descrição Do Trabalho
O que esperamos
Visão sistêmica e foco na experiência do usuário.
Boa comunicação com áreas técnicas e não técnicas.
Proatividade para lidar com problemas complexos e propor soluções inovadoras.
Experiência comprovada com Google Cloud Platform (GCP), principalmente com Vertex AI.
Sólidos conhecimentos em frameworks de Machine Learning como TensorFlow, PyTorch, ou Scikit-learn.
Forte experiência em modelagem de dados e técnicas de aprendizado supervisionado e não supervisionado.
Experiência com MLOps e na criação de pipelines automatizados para ML.
Experiência com o uso de BigQuery, Dataflow, Pub/Sub, e outras ferramentas nativas do GCP.
Conhecimento de versionamento de modelos e controle de experimentos usando Vertex AI Pipelines e ML Metadata.
Familiaridade com práticas de DevOps e infraestrutura como código (Terraform, Cloud Deployment Manager).
Excelentes habilidades de comunicação para explicar conceitos complexos de ML a stakeholders não técnicos.
Vaga remota