Senior Data Scientist

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

📋 Description

• Assist in the monitoring and support of Machine Learning and Deep Learning models deployed in production.

• Investigate, diagnose, and resolve issues pertaining to models, data pipelines, and processing.

• Evaluate model performance, accuracy, and any degradation.

• Execute continuous enhancements to current solutions.

• Oversee the deployment, updates, and version control of models.

• Work together with cross-functional teams to guarantee the operational stability of solutions.

• Adhere to best practices regarding development, documentation, and code governance.

• Aid in the advancement of the architecture and functionality of models in production.

⛳️ Requirements

• Proficient in Advanced Python.

• Familiarity with Git and code version control systems.

• Knowledge of Machine Learning principles.

• Understanding of Deep Learning techniques.

• Experience in Computer Vision.

• Awareness of key PEPs and Python development best practices.

• Proficient with Machine Learning and Deep Learning libraries.

• Experience in participating in comprehensive projects involving model development, training, deployment, and release.

• Background in working with models in production settings and providing operational support.

• Experience in analyzing and resolving incidents related to AI models.

• Preferred: Familiarity with Databricks, OpenShift, MLflow, YOLO, PyTorch, and ONNX.

🏝️ Benefits

• Flash Card with a daily meal and food allowance of BRL 32.00.

• Monthly work-from-home allowance of BRL 100.00.

• Flexible working hours.

• SulAmérica health insurance.

• Bradesco dental insurance, with the option to include dependents.

• Access to WellHub, TotalPass, and UniCamente for physical activities and various healthcare professionals.

• Onhappy, providing discounts on accommodations, flights, and experiences.

• Guapeco pet health insurance.

• Discount and Rewards Club.

• Extended maternity and paternity leave.

• Profit-sharing bonus in accordance with the applicable labor union agreement.

• Birthday Day Off.

• No dress code policy.

• Continuing Education and Professional Development Incentive Program.

• Talent Referral Program.