Track This Job
Add this job to your tracking list to:
- Monitor application status and updates
- Change status (Applied, Interview, Offer, etc.)
- Add personal notes and comments
- Set reminders for follow-ups
- Track your entire application journey
Save This Job
Add this job to your saved collection to:
- Access easily from your saved jobs dashboard
- Review job details later without searching again
- Compare with other saved opportunities
- Keep a collection of interesting positions
- Receive notifications about saved jobs before they expire
AI-Powered Job Summary
Get a concise overview of key job requirements, responsibilities, and qualifications in seconds.
Pro Tip: Use this feature to quickly decide if a job matches your skills before reading the full description.
Important Information
Location: Brazil
Job Mode: Full-time
Work Mode: Work from home
Responsibilities and Duties
- Work with a high skilled team to leverage complex and high quality machine learning and statistical models;
- Implement model to service integration via DAG creations and ETL processes;
- Evaluate model performance under real data testing results and remodelate accordingly;
- Build scalable models and DAGs to enable new workflows creations in a high-usage, high-demand environment;
- Work with worldwide multidisciplinary distributed team, participate in technical discussions and definitions using English as main communication language;
- Leverage accurate model architecture and documentation.
Essential Skills
- Bachelor’s degree in Statistics, Computer Science, Applied Mathematics, Electrical Engineering, Physics or related areas;
- Desire to combine theory and abilities to solve problems pragmatically, applying Machine Learning techniques and integrating them into larger systems;
- Desire to work with product managers and software engineers, translating requirements into design and models into end-to-end production code;
- Knowledge in probability and statistical modeling;
- Hands-on experience in statistical analysis and Machine Learning modeling using Python;
- Hands-on experience on model evaluation, integration, data transformation and deployment, covering the complete end-to-end cycle;
- Knowledge in SQL and relational databases;
- Knowledge with DAG definition and implementation.
Highly Desirable Skills
- Experience with Python notebooks, pandas;
- Experience with PySpark, Airflow;
- Experience with cloud tools (AWS, Azure, GCP) and orchestration tools;
- Knowledge about model life cycle, data drift and model drift;
- Experience with data structures;
- Experience with finops data treatment and cost saving analysis.
About Encora
Encora is the preferred digital engineering and modernization partner of some of the world’s leading enterprises and digital native companies. With over 9,000 experts in 47+ offices and innovation labs worldwide, Encora’s technology practices include Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering.
At Encora, we hire professionals based solely on their skills and qualifications, and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.
Key Skills
Ranked by relevanceReady to apply?
Join Encora Inc. and take your career to the next level!
Application takes less than 5 minutes

