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Data Scientist / Machine Learning Engineer

Talentvia BeBee
RemotoSão PauloSêniorCLTHoje

Salário Estimado

R$ 15.600,00 - R$ 23.400,00

Descrição da Vaga

Data Scientist / Machine Learning Engineer (Mid–Senior Level) 12 month contract Remote Overview We are looking for an experienced Data Scientist / Machine Learning Engineer to design, build, and deploy production-grade ML models while supporting the backend infrastructure required to run them at scale.


This is a hands-on role combining applied machine learning, cloud engineering, and data pipeline development, with a strong focus on AI Content Moderation and Recommendation Engine systems.


Key Responsibilities Take ownership of end-to-end ML production deployment, building and shipping new models largely from scratch, with responsibility for architecture, deployment pipelines, and operational reliability in collaboration with backend engineering. • Design, train, deploy, and maintain machine learning models for production use, including AI Content Moderation and Recommendation Engine features

Build and integrate backend infrastructure to support ML models and data pipelines • Work with cloud-based systems to manage model training, deployment, and monitoring
Improve data ingestion pipelines and feature engineering processes • Develop scalable, reliable ML services in collaboration with backend engineering
Collaborate closely with engineering and product teams to gather requirements and deliver solutions • Communicate progress proactively and contribute to technical decision-making Required Experience
3+ years of professional experience in Data Science, Machine Learning, or AI-related roles • Strong Python proficiency for ML development and data processing
Hands-on experience building and deploying ML models into production environments • 2+ years of practical experience working with AWS infrastructure
Solid background in Computer Science, Data Science, or a related technical discipline Required Technical Skills • Python (advanced)
Production ML model development and training • Experience building content moderation systems and/or recommendation engines
AWS (deployment and infrastructure management), including:
AWS Lambda
AWS SQS • AWS DynamoDB
AWS Kinesis or Kafka • Experience with at least one ML framework:
PyTorch or TensorFlow

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Informações

NívelSênior
ContratoCLT
LocalSão Paulo
RemotoSim
MoedaBRL
PublicadaHoje
FonteBeBee

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