Remotery

Machine Learning Engineer

Posted May 22

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

📋 Description

• Construct machine learning pipelines and backend infrastructures

• Implement models in a production environment

• Enhance model performance and reduce latency

• Create data pipelines

• Guarantee system scalability and reliability

• Collaborate with the AI team to productionize models


⛳️ Requirements

• Strong background in machine learning engineering

• Proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn)

• Experience with cloud services (AWS)

• Familiarity with Docker, Kubernetes, and CI/CD processes

• Understanding of distributed systems

• A commitment to fostering diversity

• Ability to work autonomously

• Strong resilience

• Focus on efficiency

• Driven by impact

• Enthusiasm for ongoing learning


🏝️ Benefits

• CLT contract: Employment under Brazil's CLT regime, ensuring job security and all statutory rights from day one.

• Caju Benefits Card (R$ 1,160.00): A flexible balance for your use — meals, groceries, home office, culture, and mobility.

• Remote work — Enjoy the flexibility and comfort of working from anywhere in Brazil.

• SulAmérica health plan

• SulAmérica dental plan

• SulAmérica life insurance

• Online consultations with specialists via Conexa Saúde — telemedicine services.

• Wellhub: Resources to support optimal performance.

• Extended year-end break: Take a longer time to recharge during the holiday season.

• Birthday day off: Enjoy a special day off during your birthday month.

• Extended parental leave: Provides support and quality time for those starting or expanding their family.

• Continuous professional development: Gain access to platforms like CS Academy and LinkedIn Learning, along with an annual allowance for courses and training in your field.

• University partnerships: Benefit from discounts and giveaways.

• Brazilian Sign Language (Libras) training: Acquire this valuable language for our community.

• English language learning support through various partnerships.

• Work equipment provided as part of your onboarding kit.

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