Senior Data Engineer, AWS – Supabase
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Junior Data Engineer – ML/AI
Invillia
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇧🇷 Brazil
Visit company websiteJob Level
Junior
Tech Stack
KerasPythonPyTorchTensorflow
About the role
- Design, develop and optimize Machine Learning models, with an emphasis on LLMs and NLP solutions;
- Translate complex business challenges into effective technical solutions, collaborating with cross-functional teams across product, engineering, data and business;
- Conduct applied research and experimentation with cutting-edge AI techniques, staying closely up to date with scientific and technological advances in the field;
- Build efficient, scalable data pipelines, applying best practices in data engineering, model versioning, MLOps and performance monitoring;
- Ensure quality, security and reproducibility of AI systems in production by applying robust development and model validation standards;
- Serve as a technical reference within the team, actively participating in code reviews, architectural decisions and continuous improvement initiatives;
- Mentor other professionals, contributing to the team's technical growth and fostering a culture of excellence, learning and innovation.
Requirements
- Experience developing ML solutions, with proficiency in NLP-based models and LLMs;
- Proficiency in Python and major AI frameworks such as TensorFlow, PyTorch and Keras;
- Fundamentals in statistics, predictive modeling, supervised and unsupervised learning;
- Experience with data pipelines in distributed environments, including extraction, transformation, ingestion and orchestration;
- Familiarity with MLOps tools and practices (MLflow, DVC, Kubeflow, etc.);
- Hands-on experience with model evaluation and metrics, hyperparameter tuning and model interpretability;
- Excellent communication and collaboration skills with diverse teams, with the ability to translate technical complexity into business impact.
Benefits
- Nutrition benefits
- Mental and emotional health support
- Skills development and continuous learning
- Balanced work schedule
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
Machine LearningNatural Language ProcessingLarge Language ModelsPythonTensorFlowPyTorchKerasStatisticsPredictive ModelingData Engineering
Soft skills
CommunicationCollaborationMentoringTechnical GrowthContinuous ImprovementProblem SolvingInnovationTeamworkAdaptabilityLeadership
