Remotery

Senior Machine Learning Engineer

Posted 3 hours ago

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Develop, implement, and optimize machine learning models in production.

• Collaborate in a modern and cooperative environment using cutting-edge technologies.


⛳️ Requirements

• Solid experience in developing and deploying Machine Learning models.

• Advanced Python skills with experience in PySpark and ML/DL libraries (scikit-learn, TensorFlow, PyTorch, XGBoost, etc.).

• Familiarity with GenAI architectures: Amazon Bedrock or similar, RAG pipelines, vector databases (pgvector, OpenSearch, Pinecone), and integration with LLM APIs.

• Proficient in Apache Airflow for constructing and managing complex DAGs.

• Experience with Snowflake and knowledge of DBT.

• Strong understanding of relational databases and SQL.

• Spec-driven development (specification as the primary input for AI).

• Solid mastery of the SDLC (design → build → test → deploy → operate).

• Advanced use of AI in development (code generation, testing, refactoring, debugging).

• Building agents (multi-step, tool usage, planning + execution).

• Creation of reusable skills and composition of capabilities.

• Integration via MCP (Model Context Protocol) or equivalent.

• Creation of slash-commands / operational interfaces based on structured prompts.

• Orchestration of workflows (multi-agent or human + agent).

• Integration with tools (Git, CI/CD, issue tracking, observability).

• Critical evaluation of AI outputs (quality, security, consistency).

• Strong communication skills and resilience.


🏝️ Benefits

• Health and dental insurance;

• Food and meal vouchers;

• Childcare assistance;

• Extended parental leave;

• Partnership with gyms and health and wellness professionals via Wellhub (Gympass) TotalPass;

• Profit-sharing plan (PLR);

• Life insurance;

• Continuous learning platform (CI&T University);

• Discount club;

• Free online platform dedicated to promoting physical, mental health, and well-being;

• Courses on pregnancy and responsible parenting;

• Partnerships with online course platforms;

• Language learning platform;

• And many more.

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