16 Empregos para Profissionais especializados em inteligência artificial - Sorocaba

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

üEngenheiro de Machine Learning (nível Sênior) – 1 vaga

Responsabilidades:

Será responsável por desenvolver, implementar e otimizar modelos de aprendizado de máquina, colaborando com equipes multidisciplinares para resolver problemas complexos usando dados. Conhecimentos avançados em engenharia de prompts, no fim, ajudar a empresa na tomada de melhores decisões para projeto.

Experiencia:

⁻Experiência comprovada em machine learning: Ter um histórico sólido na área de aprendizado de máquina.

⁻Proficiência em linguagens de programação: Saber programar em Python, Java, R, entre outras.

⁻Conhecimento em frameworks de ML: Familiaridade com ferramentas como TensorFlow, Keras, PyTorch,Spacy, Transformer e outros.

⁻Habilidades analíticas e de resolução de problemas: Capacidade de identificar e resolver problemas complexos de dados

⁻Conhecimentos avançados em engenharia de Prompts.

Requisitos:

⁻Projetar e desenvolver sistemas de aprendizado de máquina.

⁻Executar testes e experimentos.

⁻Implementar algoritmos de ML.

⁻Pré-processamento de dados

⁻Treinar e ajustar modelos.

üEngenheiro de Machine Learning (nível Sênior) – 1 vaga

Responsabilidades:

Será responsável por desenvolver, implementar e otimizar modelos de aprendizado de máquina, colaborando com equipes multidisciplinares para resolver problemas complexos usando dados. Conhecimentos avançados em engenharia de prompts, no fim, ajudar a empresa na tomada de melhores decisões para projeto.

Experiencia:

⁻Experiência comprovada em machine learning: Ter um histórico sólido na área de aprendizado de máquina.

⁻Proficiência em linguagens de programação: Saber programar em Python, Java, R, entre outras.

⁻Conhecimento em frameworks de ML: Familiaridade com ferramentas como TensorFlow, Keras, PyTorch,Spacy, Transformer e outros.

⁻Habilidades analíticas e de resolução de problemas: Capacidade de identificar e resolver problemas complexos de dados

⁻Conhecimentos avançados em engenharia de Prompts.

Requisitos:

⁻Projetar e desenvolver sistemas de aprendizado de máquina.

⁻Executar testes e experimentos.

⁻Implementar algoritmos de ML.

⁻Pré-processamento de dados

⁻Treinar e ajustar modelos.

A Omie tem como propósito trazer prosperidade para o ecossistema empreendedor brasileiro. Por isso, buscamos por pessoas com mentalidade de crescimento, valorizando perfis que tenham capacidade de adaptação, senso colaborativo e sejam motivadas pela inovação e pelo aprendizado contínuo.

Faça parte da história de uma das empresas de tecnologia que mais cresce no país!

A Omie tem como propósito trazer prosperidade para o ecossistema empreendedor brasileiro. Por isso, buscamos por pessoas com mentalidade de crescimento, valorizando perfis que tenham capacidade de adaptação, senso colaborativo e sejam motivadas pela inovação e pelo aprendizado contínuo.

Faça parte da história de uma das empresas de tecnologia que mais cresce no país!

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

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

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

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

#welcometoyourfuture

What we’re looking for:

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

Nice to have :

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

Being Affinity

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

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

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

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

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

Your #LifetimeExperience

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

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

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

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

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

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

Join the Experience!

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

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

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

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

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

#welcometoyourfuture

What we’re looking for:

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

Nice to have :

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

Being Affinity

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

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

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

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

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

Your #LifetimeExperience

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

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

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

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

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

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

Join the Experience!

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