Especialista I Engenharia Machine Learning
Core
Build and evolve the intelligent agents platform, ensuring seamless integration between data, models, tools, and APIs in large-scale corporate environments.
Role type
Senior Machine Learning Engineer (GenAI & Agents)
Builds
Intelligent agents platform, GenAI applications, and scalable AI infrastructure for corporate clients.
Domain
Banking / Financial Services / Generative AI
Deliverable
production ML models
Required skills
Python, Go or Java, distributed architectures, event-driven systems, MCP and A2A protocols, RAG, embeddings, semantic indexing, agent-based architectures, LLMOps, observability, CI/CD, model versioning, infrastructure as code, cloud platforms (AWS/Azure), LLM integration, fine-tuning, prompt engineering.
Preferred skills
Experiment tracking (MLflow, Weights & Biases), model serving in production.
Technologies
Datadog, Kafka, Spark, Flink, Airflow, AWS, Azure, OpenAI, Azure OpenAI, Anthropic, MCP, A2A.
Responsibilities
Design and implement AI platform components (Registry, Runtime, Evals, Observability, Governance); Develop and maintain ML/GenAI pipelines (training, evaluation, deployment, monitoring); Implement and scale ML/LLMOps/AgentOps infrastructure; Ensure end-to-end observability for platforms and agents; Collaborate with software engineers, data engineers, and AI scientists on large-scale GenAI solutions.
Seniority
Senior, hands-on IC