2335 Empregos para Machine learning - São Paulo

Estamos em busca de uma pessoa Engenheira de Machine Learning para integrar nossa equipe de Soluções IA e ser responsável por aplicar técnicas de aprendizado de máquina em projetos inovadores, ajudando a construir soluções inteligentes para nossos produtos e clientes.

Se você possui paixão por tecnologia, tem conhecimentos em dados e está em busca de oportunidades para crescer na área, esta é a vaga ideal.

Responsabilidades:

• Projetar, desenvolver e implementar modelos de machine learning para resolver problemas de negócio diversos.
• Automatizar e otimizar processos relacionados ao ciclo de vida de modelos: desde a experimentação, treinamento, deploy até o monitoramento em produção.
• Trabalhar em colaboração com equipes de Ciência de Dados, Engenharia de Dados e Produto, garantindo que os modelos sejam integrados de forma eficiente aos sistemas.
• Garantir a escalabilidade, eficiência e confiabilidade das soluções de machine learning em ambientes de produção.
• Participar da definição de arquiteturas e pipelines de MLOps para automação e governança de modelos.
• Monitorar o desempenho dos modelos e ajustar parâmetros conforme mudanças nos dados e nos objetivos de negócio.
• Documentar soluções, boas práticas e contribuir para a evolução contínua dos processos e padrões técnicos.
• Pesquisar e implementar novas técnicas e ferramentas que impulsionem a inovação em machine learning.

Requisitos:

• Graduação completa ou em andamento em Ciência da Computação, Engenharia, estatística, matemática, ou áreas correlatas.
• Programação em Python ou outras linguagens adequadas para machine learning.
• com bibliotecas e frameworks de machine learning e deep learning (ex.: Scikit-learn, TensorFlow, PyTorch).
• Conhecimento de fundamentos de estatística, aprendizado supervisionado e não supervisionado.
• Experiência com versionamento de código (ex.: Git) e práticas de desenvolvimento de software.
• Noções de deployment e monitoramento de modelos.

Diferenciais:

• Experiência prática com MLOps e ferramentas de automação de pipelines (ex.: MLflow, Kubeflow, Airflow).
• Conhecimento em computação em nuvem (AWS, Azure ou GCP), especialmente serviços de IA/ML.
• Experiência com containers e orquestração (ex.: Docker, Kubernetes).
• Implementação de soluções de machine learning em ambientes de produção com requisitos de escalabilidade e segurança.
• Participação em projetos que envolvam modelos de NLP, visão computacional ou sistemas de recomendação.

Perfil profissional:

• Mentalidade analítica e orientação para a resolução de problemas complexos com pragmatismo.
• Proatividade na busca de soluções e na melhoria contínua de processos e modelos.
• Colaboração ativa com diferentes áreas e habilidades de comunicação clara, tanto para públicos técnicos quanto não técnicos.
• Organização, responsabilidade e atenção aos detalhes na entrega de soluções robustas e seguras.
• Interesse por aprendizado contínuo e atualização em relação às tendências e inovações em machine learning.

Se você se identifica com essa oportunidade, inscreva-se! Nosso processo valoriza competências, potencial e diversidade de experiências.

Você é apaixonado(a) por tecnologia, inovação e quer fazer parte de um ambiente inclusivo, colaborativo e em constante evolução? Então essa oportunidade é para você

Na Capgemini, valorizamos o equilíbrio entre vida pessoal e profissional. Por isso, oferecemos modelos de trabalho flexíveis, que podem variar entre home office, híbrido ou presencial, de acordo com as necessidades do projeto. Nosso objetivo é proporcionar a melhor experiência para você, respeitando seu estilo de vida e promovendo bem-estar.

Estamos em busca de um(a) Machine Learning Engineer, com foco em AWS & Dataiku, para compor nosso time.

• Responsável por liderar a modernização de pipelines de dados e modelos de machine learning, migrando soluções existentes em Dataiku para uma arquitetura robusta e escalável na AWS.
• Analisar o projeto atual em Dataiku e mapear os fluxos de dados, pipelines e modelos existentes.
• Redesenhar e migrar pipelines para arquitetura AWS (Glue, EMR, Lambda, Step Functions), otimizando performance e custos.
• Construir e orquestrar pipelines ETL/ELT escaláveis para alimentar modelos em SageMaker.
• Implementar uma pipeline completa de MLOps (Processing, Training, Model Registry, Deployment).
• Integrar boas práticas de versionamento de dados, código e modelos (Git, DVC).
• Garantir segurança e compliance (IAM, KMS, CloudWatch, CloudTrail).
• Tomar decisões técnicas de forma autônoma e apresentar soluções aos stakeholders.
• Documentar padrões de arquitetura e boas práticas para manutenção futura.

• Experiência prática com engenharia de dados (ETL/ELT, modelagem, orquestração).
• Proficiência em AWS (SageMaker, Glue, EMR, Lambda, S3, Step Functions, CloudWatch, IAM).
• Experiência sólida em MLOps e CI/CD para modelos de machine learning.
• Domínio de Python e bibliotecas como Pandas, PySpark, boto3.
• Experiência prévia com migração de plataformas de dados/ML.
• Capacidade comprovada de atuar de forma autônoma e liderar iniciativas técnicas.
• Inglês avançado.

• Experiência com Dataiku ou projetos similares de migração.
• Conhecimento em IaC (Terraform, CloudFormation).
• Vivência com monitoramento e logging de pipelines de ML.
• Experiência em ambientes ágeis e cultura DevOps.
• Espanhol avançado para conversação.

Na Capgemini, você pode ser quem você é. Valorizamos a diversidade em todas as suas formas e promovemos um ambiente inclusivo por meio de comitês como:

• – Empoderamento feminino e equidade de gênero.
• Capgemini Black – Representatividade e valorização da cultura negra.
• LGBTQIA+@Capgemini, Capgemini Accessibility, entre outros.

Nosso compromisso é contínuo: somos reconhecidos pela GPTW, Bloomberg Gender Equality Index, EDGE e Ethisphere como uma das empresas mais éticas e inclusivas do mundo. Nossas vagas são para todas as pessoas, independentemente de cor, etnia, religião, idade, identidade de gênero, orientação sexual ou deficiência.

Aqui, você é protagonista da sua carreira Oferecemos:

• Plano de carreira estruturado e trilhas personalizadas de aprendizado.
• Universidade Corporativa, com acesso a Harvard, Coursera, Udemy, Pluralsight.
• Certificações oficiais com parceiros como SAP, AWS, Microsoft, Salesforce.
• Idiomas com EF Education First (Inglês, Espanhol, Francês e Alemão).

• Assistência médica e odontológica.
• Gympass e Equilibrium (saúde física e mental).
• Previdência privada e seguro de vida.
• Programa Family Care: licenças maternidade e paternidade estendidas, apoio à fertilidade, orientação personalizada em saúde e bem-estar.
• Vale-refeição, auxílio home office, clube de benefícios e muito mais

Na Capgemini, liberamos a energia humana por meio da tecnologia para construir um futuro mais inclusivo, sustentável e inovador. Se você compartilha desses valores, venha transformar o mundo com a gente

Descrição da vaga

Os Machine Learning Engineers da Blip trabalham na implementação e otimização de soluções de inteligência artificial e machine learning aplicadas ao desenvolvimento de sistemas de IA conversacional. Trabalham em conjunto com Data Scientists e AI Engineers para alcançar objetivos comuns, contribuindo na integração de modelos de IA em APIs e aplicações em produção.

Responsabilidades e atribuições

• Trabalhar de forma colaborativa com equipes de Machine Learning Engineers, Data Scientists e AI Engineers na construção e integração de modelos avançados de IA em APIs e aplicações de produção;
• Identificar e implementar melhorias em pipelines de RAG, focando na otimização da geração e recuperação de conhecimento, com orientação mínima;
• Contribuir para a definição de estratégias e melhores práticas no desenvolvimento e implantação de modelos de IA, incluindo otimização de processos, evolução de tecnologias e análise de riscos;
• Trabalhar em estreita colaboração com as partes interessadas para garantir que os modelos e sistemas de IA atendam aos requisitos do negócio e sejam escaláveis a longo prazo;
• Realizar avaliações detalhadas de modelos de Machine Learning e soluções de IA, recomendando e implementando ajustes para melhorar a performance e a precisão dos resultados;
• Revisar código dos pares e fornecer feedbacks construtivos;
• Debugar e solucionar problemas técnicos de moderada complexidade;
• Identificar e comunicar potenciais riscos técnicos e impedimentos;
• Monitorar stack features usando ferramentas de observabilidade interna;
• Entregar pequenas funcionalidades e melhorias com mínima orientação;
• Mentorar outros membros da equipe;

Requisitos e qualificações

• 2+ anos de experiência como Machine Learning Engineer;
• Conhecimento intermediário em Machine Learning, NLP e LLMs, com experiência prática no desenvolvimento e aplicação desses modelos em ambiente de produção;
• Conhecimento intermediário de RAG (Retrieval-Augmented Generation);
• Experiência profissional em Python;
• Experiência profissional com bancos de dados vetoriais e técnicas avançadas de indexação e recuperação de dados;
• Experiência profissional na avaliação e monitoramento de modelos de ML, com habilidades para identificar e corrigir falhas de desempenho;
• Experiência profissional no desenvolvimento de APIs REST utilizando frameworks como FastAPI, incluindo a criação de endpoints robustos para integração de modelos de I.A;
• Experiência em trabalhar de forma independente e colaborativa, com forte habilidade para resolver problemas complexos e otimizar sistemas existentes;
• Experiência básica com desenho de soluções de IA com GenAI;
• Experiência básica com desenvolvimento de pipelines de dados (ETL) em ambiente de Big Data;
• Experiência básica com MLOps;
• Experiência básica com ferramentas de observabilidade como Grafana;
• Familiaridade com execução e reprodução de análises exploratórias de dados;
• Familiaridade com experimentação com soluções de GenAI (soluções Agentic, e afins);
• Experiência básica com desenho de arquitetura de soluções de IA que sejam eficientes e escaláveis.
• Conhecimento de controle de versão como Git;
• Experiência trabalhando em equipe remota;
• Mentalidade proativa de aprendizado;
• Capacidade de aceitar e incorporar feedbacks efetivamente;
• Conhecimento intermediário de Cloud (AWS, Azure ou GCP);
• Conhecimento intermediário de estrutura de pipelines de dados.

Informações adicionais

Nada Básico Que Amamos
Sua Experiência no Dia a Dia

• Horário Flexível: Mais autonomia para organizar sua rotina com equilíbrio e responsabilidade.
• Modelos de Trabalho Flexíveis: Remoto, híbrido ou presencial, conforme a necessidade da função.
• No Dress Code: Liberdade para ser quem você é, sem formalidades.
• Auxílio Home Office e Blip Setup: Suporte financeiro para montar (ou melhorar) seu espaço de trabalho remoto.
• Day Off de Aniversário: Um dia de folga no mês do seu aniversário para comemorar como quiser.
• Blip Recharge: São 5 dias de folga remunerada por ano, para cargos que não fazem registro de ponto, pensados para equilibrar a jornada.

Bem-estar e Qualidade de Vida

• Vale Alimentação ou Refeição: R$ 1.144,00 mensais, sem desconto e creditado inclusive nas férias e licenças.
• Vale Transporte: Disponível conforme necessidade de deslocamento.
• Wellhub (Gympass): Acesso a academias, apps de bem-estar e atividades físicas, também para dependentes.
• Convênio SESC: Acesso à cultura, lazer, esportes, hotéis, colônia de férias e mais.

Saúde Física e Emocional

• Plano de Saúde (Amil): Cobertura nacional, quarto privativo para você e seus dependentes, com desconto apenas de coparticipação.
• Plano Odontológico: Cobertura nacional para você e seus dependentes, com três opções de planos, e desconto integral do valor do plano escolhido.
• Conexa Saúde: Plataforma de atendimento psicológico online.
• Seguro de Vida: Cobertura equivalente a 24 vezes o seu salário mensal.

Família, Parentalidade e Apoio

• Licença Maternidade Estendida: 180 dias para viver o início dessa nova fase com tranquilidade.
• Licença Paternidade Estendida: 30 dias para estar presente e fortalecer vínculos.

PRAZER, SOMOS A BLIP

Aqui oferecemos uma experiência surpreendente, rápida e inteligente para os seus clientes, porque
Blip é o futuro
Somos a
Blip
, uma plataforma de interações inteligentes, onde as empresas se encontram com clientes em vários canais de comunicação, como WhatsApp, Instagram, Facebook ou no chat do seu site.

Aqui nós temos um time de
Blippers
que vive inovação no dia dia, com um ponto de vista único para evoluir as jornadas de comunicação, sempre com confiança para aprender mais E no nosso próprio ritmo, vamos muito mais longe

A Blip é
feita de pessoas para pessoas
Somos
especialistas, inquietos e bem-humorados
e é assim que nós entregamos conversas no ritmo das pessoas. Somos líderes de mercado na América Latina, com Blippers atuando em vários lugares do mundo, sempre com confiança para ir longe

Valorizamos pessoas em primeiro lugar e por isso consideramos todos os grupos de diversidade nas nossas vagas.
E se você é uma Pessoa com Deficiência (PcD) ou Neurodivergente, saiba que todas as vagas da Blip também são inclusivas Estamos esperando sua inscrição

Company overview:
Blue Orange Digital is a boutique data & AI consultancy that delivers enterprise-grade results. We design and build modern data platforms, analytics, and ML/AI Agent solutions for mid‑market and enterprise clients across Private Equity, Financial Services, Healthcare, and Retail.

Our teams work with technologies like Databricks, Snowflake, dbt, and the broader Microsoft ecosystem to turn messy, real-world data into trustworthy, actionable insight.

We're a builder‑led, client‑first culture that prizes ownership, clear communication, and shipping high‑impact work.

Position overview:
Blue Orange is seeking to expand our Team of expert consultants with an experienced Machine Learning Engineer to address a set of expanding opportunities in the next several months. The ideal candidate will possess a deep passion for machine learning, AI tech and innovative data solutions with proficiency in advanced machine learning techniques, strong skills in programming languages such as Python, expertise around data analytics and feature engineering, experience working with some of the main ML and D frameworks, a proven track record of working with cloud-native solutions in at least 1 of the main clouds (AWS, GCP, Azure, or Snowflake, etc.), MLOps and LLMs, and strong proficiency in the end-to-end ML/AI cycle, from ideation to production. The candidate will play a crucial role in driving our machine-learning initiatives forward. The candidate will have excellent communication skills to collaborate with technical and non-technical stakeholders effectively.

At Blue Orange, you'll have the opportunity to work on cutting-edge projects, leveraging modern machine-learning and AI techniques to deliver tangible business outcomes and drive innovation in our data-driven solutions.

Note:
Please submit your resume in English, as all application materials must be in English for review and consideration.

Responsibilities:

• Collaborate with cross-functional teams to understand business requirements and design to productionize Gen AI solutions into practical product driven applications.
• Design and implement application integrations to leverage newly build GenAI Products.
• Build solutions that improve delivery speed and scalability of product pipelines.
• Leverage managed and serverless cloud offerings to create performant and scalable cloud native application solutions and data pipelines.
• Experiment with retrieval-augmented generation (RAG) approaches to improve the relevance and coherence of AI-generated outputs.
• Work closely with GenAI engineers and researchers to integrate prompt engineering and RAG components into production systems and ensure seamless deployment.
• Stay up to date with the latest advancements in prompt engineering, RAG, data science, machine learning, and AI technologies, and explore innovative approaches to enhance Gen AI capabilities.

Requirements:

• Experience with NLP and LLM-based technologies and frameworks.
• Proficiency in programming languages such as Python and JavaScript is preferred.
• Proven track record of successful delivery of software engineering projects.
• Ability to think and learn on your feet, and the ability to quickly become proficient with new technologies in a fast-paced environment.
• Understanding and passion for Test Driven Design.
• Familiarity with ETL concepts and best practices.
• Experience with prompt engineering and RAG techniques preferred.
• Excellent problem-solving skills, critical thinking abilities, and attention to detail.
• Effective communication skills and the ability to collaborate effectively in a team environment.
• Passion for AI and a desire to contribute to the advancement of Gen AI technologies.
• Strong problem-solving and analytical skills.
• Self-driven and autonomous.
• Excellent verbal and written communication skills.
• Team player.
• Eagerness to learn and adapt in a fast-paced environment.
• 5+ years of industry experience as a hands-on practitioner of software engineering and proven experience with cloud offerings.
• 3+ years of experience with cloud platforms such as AWS.
• Experience with Docker preferred.
• Bachelor's degree or higher in Computer Science or a related field.

Preferred qualifications:

• Advanced degree in a relevant field.
• Publications in relevant AI/ML communities and journals.
• Experience fine-tuning OpenSource LLMs and deploying them.
• MLFlow, etc., a plus.

Benefits:

• Fully remote
• Flexible Schedule
• Unlimited Paid Time Off (PTO)
• Paid parental/bereavement leave
• Worldwide recognized clients to build skills for an excellent resume
• Top-notch team to learn and grow with

Salary:
USD $7,454 - $9,486 (monthly salary range)

Background checks may be required for certain positions/projects.

Blue Orange Digital is an equal opportunity employer.

Job Overview

The Machine Learning Engineer will work with Bastian Solutions' R&D team to produce industry leading Autonomous Vehicle and Robotic solutions for the Material Handling Industry. With a current team size of approximately 70 members, distributed between our Boise, Dallas, and Indianapolis offices, the Bastian R&D team is composed of industry leading experts with cross-discipline skillsets and backgrounds. The Machine Learning Engineer will work alongside like-minded engineers in an Agile development environment and will have the opportunity to engage in every stage of the R&D process to bring new products to the market. This includes research, innovation, design, prototype development, and field deployment of alpha and beta systems.

The Machine Learning Engineer is a specialist in Artificial Intelligence technology with a strong foundation in software engineering. You have a passion for research and stay appraised of the latest cutting-edge ML technologies. You have a deep understanding of how to select, create, and apply AI architectures to novel real-world problems. You understand the strategies for working with large amounts of data and have experience using MLOps tools and frameworks.

As a Machine Learning Engineer, you supplement your AI expertise with a strong focus on software architecture and system design. Our team is focused on creating products that interact with the physical world to solve real-world problems. You bring your strong software foundation to the table by creating supporting libraries, tools, and frameworks to deliver our AI technology in a polished product package. You work with product managers and customer-facing teams to deeply understand the real-world challenges we face. You interface with other multi-disciplinary engineers to help specify and design the hardware that enables our products. Most importantly, you are excited to work alongside your peers in a highly collaborative environment.

Job Functions

• Design state of the art neural networks for vision, grasping, and robot autonomy tasks.
• Develop software systems to interface neural networks with hardware to solve real-world physical problems.
• Select and implement cutting edge neural network algorithms directly from the latest research.
• Read research papers, attend conferences, and share the latest advances in machine learning.
• Supervise model and dataset development across multiple projects, teams, and geographical locations.
• Develop new training and evaluation techniques to enhance an end-to-end neural network training and evaluation pipeline.
• Develop new features for a self-optimizing, real and synthetic, data generation pipeline.
• Develop real time inference applications for embedded and mobile devices.
• Develop front and back-end systems for client/server inference.
• Create simulated environments for synthetic data generation.
• Evaluate and recommend the latest hardware for vision and robotic platforms.
• Maintain clear and transparent communication with cross-functional team, vendors, and clients.
• Develop robust software utilizing industry best practices for code styling, version control, and development processes
• Engage with Software Development Life Cycle processes, including scoping, architecture creation, design reviews, peer programming, and collaboration with a multidisciplinary team.

Travel Requirements

• Up to 10% overnight travel (Travel expenses paid by Bastian Solutions)

Preferred Skills and Required Qualifications

• Bachelor's Degree in Computer Science, Computer Engineering or related technical field
• Preferred Masters or PhD in engineering with computer vision or neural network thesis/dissertation

CV/ML

• Experience developing computer vision software in C++ and Python, including algorithm design and systems software development
• Experience with machine learning, Bayesian filtering, information theory and/or 3D geometry
• Experience in developing large scale neural networks using PyTorch, Tensorflow, Keras, etc.
• Understanding of applied mathematics, numerical optimization, and Object/Pattern Recognition
• Experience with 2D and 3D Computer Vision algorithms
• Experience in dataset development for computer vision tasks, including synthetic data generation
• Experience with MLOps

Software Development

• Experience developing with Linux (Ubuntu) OS
• Ability to write proficient C++ and Python code
• Experience with Git and GitFlow process, including branching, pull-request, and release processes
• Experience with Software Engineering best practices
• Experience with unit testing, integration testing, deployment & support practices
• Strong software architecture background
• Exposure to Autonomous Vehicles, Robotics, Automation, ROS/ROS2 is a plus
• Must be eligible to work in the USA long term without sponsorship

To learn more about us, click here -

About Bastian Solutions

Bastian Solutions, a Toyota Advanced Logistics company, is an independent material handling and robotics system integrator providing automated solutions for distribution, manufacturing, and order fulfillment centers around the world. Our team specializes in consulting, system design, project management, maintenance, and installation, while sourcing the best equipment and automation technology. We take great pride in providing exceptional service and flexibility to our customers.

In addition to exciting work at a growing company, we offer the following benefits:

• Health, Dental, and Vision Insurance
• 401(k) Retirement Plan with a company match
• Vacation/Holiday Pay
• Tuition Reimbursement
• Flexible Work Schedules
• Volunteer Work
• Professional Associations, Conferences and Subscriptions
• Company Meetings & Events

Bastian Solutions does not work outside recruiting agencies. No solicitation phone calls please.

Funções que serão desempenhadas:

• Projetar, construir e implementar sistemas complexos para treinar e executar modelos de aprendizado de máquina com princípios arquitetônicos sólidos;
• Entender os objetivos de negócios e implementar modelos para alcançá-los, juntamente com métricas para acompanhar seu progresso;
• Atuar em parceria com as áreas de negócio, incluindo: Produtos, Sucesso do Cliente e Vendas/Marketing;
• Aplicar as melhores práticas de desenvolvimento, testes e demonstrar excelentes habilidades de software para produzir soluções sustentáveis, escalonáveis e de qualidade.

Requisito
s necessárias:

• Ensino Superior em cursos voltados para Tecnologia;
• Inglês avançado (diferencial);
• Amplo conhecimento em pelo menos uma das principais linguagens de programação (Python, Java ou Scala);
• Conhecimento em Containerização (Docker) ;
• Conhecimento de computação em nuvem (Azure, AWS ou GCP);
• Processamento Distribuído e Paralelo (Spark, Dask, etc.);
• Orquestração e fluxos (Prefect, Airflow, Kubeflow, etc.);
• Pipelines CI/CD (Gitlab, Github, Argo, etc.).

ATENÇÃO
Para essa vaga, o modelo de trabalho é híbrido, sendo presencial três vezes por semana em nosso escritório em Barueri/SP - por isso, o profissional precisa residir em São Paulo ou região de fácil deslocamento.

Job Overview
The Machine Learning Engineer will work with Bastian Solutions' R&D team to produce industry leading Autonomous Vehicle and Robotic solutions for the Material Handling Industry. With a current team size of approximately 70 members, distributed between our Boise, Dallas, and Indianapolis offices, the Bastian R&D team is composed of industry leading experts with cross-discipline skillsets and backgrounds. The Machine Learning Engineer will work alongside like-minded engineers in an Agile development environment and will have the opportunity to engage in every stage of the R&D process to bring new products to the market. This includes research, innovation, design, prototype development, and field deployment of alpha and beta systems.

The Machine Learning Engineer is a specialist in Artificial Intelligence technology with a strong foundation in software engineering. You have a passion for research and stay appraised of the latest cutting-edge ML technologies. You have a deep understanding of how to select, create, and apply AI architectures to novel real-world problems. You understand the strategies for working with large amounts of data and have experience using MLOps tools and frameworks.

As a Machine Learning Engineer, you supplement your AI expertise with a strong focus on software architecture and system design. Our team is focused on creating products that interact with the physical world to solve real-world problems. You bring your strong software foundation to the table by creating supporting libraries, tools, and frameworks to deliver our AI technology in a polished product package. You work with product managers and customer-facing teams to deeply understand the real-world challenges we face. You interface with other multi-disciplinary engineers to help specify and design the hardware that enables our products. Most importantly, you are excited to work alongside your peers in a highly collaborative environment.

Job Functions

• Design state of the art neural networks for vision, grasping, and robot autonomy tasks.
• Develop software systems to interface neural networks with hardware to solve real-world physical problems.
• Select and implement cutting edge neural network algorithms directly from the latest research.
• Read research papers, attend conferences, and share the latest advances in machine learning.
• Supervise model and dataset development across multiple projects, teams, and geographical locations.
• Develop new training and evaluation techniques to enhance an end-to-end neural network training and evaluation pipeline.
• Develop new features for a self-optimizing, real and synthetic, data generation pipeline.
• Develop real time inference applications for embedded and mobile devices.
• Develop front and back-end systems for client/server inference.
• Create simulated environments for synthetic data generation.
• Evaluate and recommend the latest hardware for vision and robotic platforms.
• Maintain clear and transparent communication with cross-functional team, vendors, and clients.
• Develop robust software utilizing industry best practices for code styling, version control, and development processes
• Engage with Software Development Life Cycle processes, including scoping, architecture creation, design reviews, peer programming, and collaboration with a multidisciplinary team.

Travel Requirements

• Up to 10% overnight travel (Travel expenses paid by Bastian Solutions)

Preferred Skills And Required Qualifications

• Bachelor's Degree in Computer Science, Computer Engineering or related technical field
• Preferred Masters or PhD in engineering with computer vision or neural network thesis/dissertation

CV/ML

• Experience developing computer vision software in C++ and Python, including algorithm design and systems software development
• Experience with machine learning, Bayesian filtering, information theory and/or 3D geometry
• Experience in developing large scale neural networks using PyTorch, Tensorflow, Keras, etc.
• Understanding of applied mathematics, numerical optimization, and Object/Pattern Recognition
• Experience with 2D and 3D Computer Vision algorithms
• Experience in dataset development for computer vision tasks, including synthetic data generation
• Experience with MLOps

Software Development

• Experience developing with Linux (Ubuntu) OS
• Ability to write proficient C++ and Python code
• Experience with Git and GitFlow process, including branching, pull-request, and release processes
• Experience with Software Engineering best practices
• Experience with unit testing, integration testing, deployment & support practices
• Strong software architecture background
• Exposure to Autonomous Vehicles, Robotics, Automation, ROS/ROS2 is a plus
• Must be eligible to work in the USA long term without sponsorship

About Bastian Solutions
Bastian Solutions, a Toyota Advanced Logistics company, is an independent material handling and robotics system integrator providing automated solutions for distribution, manufacturing, and order fulfillment centers around the world. Our team specializes in consulting, system design, project management, maintenance, and installation, while sourcing the best equipment and automation technology. We take great pride in providing exceptional service and flexibility to our customers.

In addition to exciting work at a growing company, we offer the following benefits:

• Health, Dental, and Vision Insurance
• 401(k) Retirement Plan with a company match
• Vacation/Holiday Pay
• Tuition Reimbursement
• Flexible Work Schedules
• Volunteer Work
• Professional Associations, Conferences and Subscriptions
• Company Meetings & Events

Bastian Solutions does not work outside recruiting agencies. No solicitation phone calls please.

Who we are:

CloudWalk is a fintech company reimagining the future of financial services. We are building intelligent infrastructure powered by AI, blockchain, and thoughtful design. Our products serve millions of entrepreneurs across Brazil and the US every day, helping them grow with tools that are fast, fair, and built for how business actually works. Learn more at .

Who We're Looking For:

We're looking for a Machine Learning Engineer to own and evolve our distributed training pipeline for large language models. You'll work inside our GPU cluster to help researchers train and scale foundation models using frameworks like
Hugging Face Transformers, Accelerate, DeepSpeed, FSDP,
and others. Your focus will be distributed training: from designing sharding strategies and multi-node orchestration to optimizing throughput and managing checkpoints at scale.

This role is
not research
- it's about building and scaling the systems that let researchers move fast and models grow big. You'll work closely with MLOps, infra, and model developers to make our training runs efficient, resilient, and reproducible.

What You'll Do:

• Own the architecture and maintenance of our distributed training pipeline;
• Train LLMs using tools like DeepSpeed, FSDP, and Hugging Face Accelerate;
• Design and debug multi-node/multi-GPU training runs (Kubernetes-based);
• Optimize training performance: memory usage, speed, throughput, and cost;
• Help manage experiment tracking, artifact storage, and resume logic;
• Build reusable, scalable training templates for internal use;
• Collaborate with researchers to bring their training scripts into production shape.

What We're Looking For:

• Expertise in distributed training: Experience with DeepSpeed, FSDP, or Hugging Face Accelerate in real-world multi-GPU or multi-node setups;
• Strong PyTorch background: Comfortable writing custom training loops, schedulers, or callbacks;
• Hugging Face stack experience: Transformers, Datasets, Accelerate - you know the ecosystem and how to bend it;
• Infra literacy: You understand how GPUs, containers, and job schedulers work together. You can debug cluster issues, memory bottlenecks, or unexpected slowdowns;
• Resilience mindset: You write code that can checkpoint, resume, log correctly, and keep running when things go wrong;
• Collaborative builder: You don't mind digging into other people's scripts, making them robust, and helping everyone train faster.

Bonus Points:

• Experience with Kubernetes-based GPU clusters and Ray;
• Experience with experiment tracking (MLflow, W&B);
• Familiarity with mixed precision, ZeRO stages, model parallelism;
• Comfort with CLI tooling, profiling, logging, and telemetry;
• Experience with dataloading bottlenecks and dataset streaming.

How We Hire:

• Online assessment: technical logic and fundamentals (Math/Calculus, Statistics, Probability, Machine Learning/Deep Learning, Code)
• Technical interview: deep dive into distributed training theory and reasoning (no code)
• Cultural interview
• If you are not willing to take an online quiz, do not apply.

If you've trained LLMs before - or helped others do it better - this role is for you.
Even if you don't check every box, if you're confident working with distributed compute and real-world LLM workloads, we want to hear from you.

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The Role You'll Play

• Develop and deploy production-ready machine learning models across a wide range of applications.
• Monitor and maintain the performance of models in production environments.
• Engineer and integrate data from multiple sources to fuel training pipelines, predictions, and business insights.
• Collaborate with Product Managers to ensure solutions align with customer impact and business goals.
• Write clean, testable, and scalable code while contributing to shared design documents and engineering discussions.
• Conduct peer reviews to uphold engineering quality and share knowledge across the team.
• Stay current with emerging technologies in ML, data engineering, and AI.

Experience You Bring

• 2+ years of hands-on experience building and deploying machine learning models in production.
• Proficiency in Python and SQL, with a strong understanding of data manipulation and model pipelines.
• Excellent communication skills, both written and verbal, with the ability to explain technical work in a clear and thoughtful way.
• Intellectual curiosity and a bias for action—you're excited to explore, experiment, and iterate.
• Strong business intuition and the ability to balance technical rigor with customer outcomes.
• A results-driven mindset—you care more about solving the problem than using the flashiest method.
• A proactive approach to identifying and solving complex challenges—both independently and in collaboration.

Have we piqued your curiosity?
Sound like the role for you? We'd love to hear from you Even if you're not 100% sure about potential fit, we still encourage you to apply. We're looking for the right person, not the perfect series of checkboxes.

Playlist is an Equal Opportunity Employer. We highly value diversity at our company and encourage people of all different backgrounds, experiences, abilities and perspectives to apply. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or other protected characteristics.

By entering your email and phone number and submitting your application, you consent to receive emails, calls and SMS about your application and other roles at Playlist, including by auto-dialer. Message and data rates may apply. Opt-out or text STOP to cancel at any time. If you are a California resident or reside outside the United States then by submitting your application you confirm that you have read, understood, agree and - where applicable - grant your prior, free, informed and express consent for the processing of your personal information, including sensitive personal information, as described in our
California Applicant Privacy Notice
or
International Applicant Privacy Notice
(as applicable).
Note: This description outlines key responsibilities but isn't intended to cover every task or duty. Additional responsibilities may be assigned as needed to support the team and business goals.