Responsabilidades
- Lead and mentor a team of Machine Learning Engineers working across multiple AI initiatives.
- Provide technical assessments and guidance on solution design, architecture, and delivery across projects.
- Collaborate with leadership to define and evolve the company’s AI strategy, aligning technology with business priorities.
- Contribute hands‑on to internal AI solutions and reusable components, ensuring scalability and performance.
- Build and refine MLOps infrastructure and architecture, enabling robust experimentation, deployment, and monitoring of models.
- Help grow the AI Engineering team by participating in hiring, onboarding, and career development.
- Promote a culture of excellence, collaboration, and innovation within the AI/ML team.
- Stay up‑to‑date with the latest advancements in AI, LLMs, and MLOps, and bring innovation into practice.
Qualificações
- 7+ years of experience in Machine Learning Engineering, with 2+ years in a leadership or tech lead role.
- Demonstrated experience leading ML engineers and delivering AI/ML solutions into production.
- Strong background in MLOps practices and tools: CI/CD for ML, model monitoring, versioning, data pipelines.
- Advanced programming skills in Python and familiarity with ML frameworks such as PyTorch, TensorFlow, or Scikit‑learn.
- Proficiency in cloud environments (AWS, Azure, or GCP), containerization (Docker, Kubernetes), and orchestration tools.
- Familiarity with LLMs and GenAI tools (OpenAI APIs, LangChain, HuggingFace, etc.).
- Experience in defining and implementing AI system architecture.
- Excellent communication and collaboration skills, with the ability to align technical teams and business stakeholders.
- Superior Completo e Especialização na área a fins.
Benefícios
- Seguro de vida
- Convênio médico
- Convênio odontológico
- Seguro de vida em grupo
- Vale transporte
- Vale‑alimentação
- Uniforme
- Alimentação no local
- Tarifas especiais para utilização dos serviços de hospedagem e outlets da companhia e muito mais!
Local de Trabalho: São Paulo / SP - Zona Zul
Modalidade de Trabalho: Remoto
Regime de Contratação: CLT - Efetivo
Salário: A combinar
Empresa: JP & F Consultoria