Senior Machine Learning Engineer
New
G
GFTArtificial Intelligence
BrazilFull-TimeSenior
Salary not disclosed
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Job Details
- Languages
- English
- Required Skills
- PythonArtificial IntelligenceGitMachine LearningPyTorchTensorflowMLOpsGenerative AI
Requirements
- Higher education in Computer Science, Engineering, Data Science, or equivalent experience.
- Proven experience in developing Machine Learning or Artificial Intelligence solutions.
- Advanced knowledge of Python.
- Experience with ML frameworks such as PyTorch, TensorFlow, or Hugging Face.
- Knowledge of Generative AI and Agentic AI concepts.
- Experience with Prompt Chaining, Tool Calling, and Human-in-the-loop workflows.
- Strong understanding of the complete machine learning model lifecycle.
- Experience with model deployment, production availability, and inference.
- Proficiency in developing and consuming APIs for model integration.
- Experience with Git for version control.
- Knowledge of Experiment Tracking and model monitoring.
- Practical experience with MLOps concepts and production engineering best practices.
- Advanced or fluent conversational English skills.
Responsibilities
- Develop and deploy Artificial Intelligence applications and intelligent agents with a focus on scalability and maintainability.
- Build and expose inference endpoints for consumption by various applications and services.
- Implement MLOps practices, including experiment tracking, model versioning, CI/CD, and automated testing.
- Develop and maintain data and training pipelines, covering data validation, feature extraction, and drift monitoring.
- Integrate Machine Learning models with APIs, gateways, authentication mechanisms, and observability tools.
- Optimize training and inference performance and costs through efficient resource utilization.
- Support AI solutions by resolving incidents, performing root cause analysis, and improving system reliability.
- Create technical documentation, diagrams, and runbooks.
- Participate in code reviews and cross-team knowledge sharing.
- Collaborate with Product, Data, Platform, and Engineering teams to define and implement solutions.
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