[Job 29881] Senior Machine Learning Engineer, Brazil
Core
Develop, implement, and optimize production machine learning models and GenAI agents to transform data into intelligent business solutions.
Role type
Senior Machine Learning Engineer (GenAI & Production ML)
Builds
Production ML models, GenAI agents, RAG pipelines, and AI-integrated business solutions
Domain
Artificial Intelligence, Machine Learning, Generative AI, Data Engineering
Deliverable
production ML models
Required skills
Python, PySpark, scikit-learn, TensorFlow, PyTorch, XGBoost, SQL, Snowflake, DBT, Apache Airflow, vector databases (pgvector, OpenSearch, Pinecone), LLM API integration, SDLC, AI codegen, multi-agent orchestration, MCP (Model Context Protocol), prompt engineering
Preferred skills
GenAI architecture design, agent planning and execution, workflow orchestration, AI output evaluation
Technologies
Amazon Bedrock, Git, CI/CD, issue tracking, observability tools
Responsibilities
Develop and deploy advanced ML models using Python and deep learning frameworks; Build and manage complex GenAI agents with tool usage and multi-step planning; Construct RAG pipelines and integrate with vector databases; Orchestrate workflows involving human and agent collaboration; Evaluate AI outputs for quality, security, and consistency; Integrate AI solutions with existing business tools and APIs.
Seniority
Senior, hands-on IC