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Tech Lead Machine Learning / Data Engineer
Job summary
A leading digital engineering firm is seeking a skilled professional for a full-time remote role focused on machine learning integration and statistical modeling. Responsibilities include leveraging high-quality machine learning models, evaluating performance, and collaborating with a worldwide team. The ideal candidate holds a Bachelor's degree in a related field and has strong Python and SQL skills, alongside hands-on experience in statistical analysis. Join a diverse and dynamic team that values skills and qualifications over all else.
Qualifications
- Bachelor's degree in Statistics, Computer Science, Applied Mathematics, Electrical Engineering, Physics or related areas.
- Hands-on experience in statistical analysis and Machine Learning modeling using Python.
- Knowledge in SQL and relational databases.
Responsibilities
- Work with a high-skilled team to leverage machine learning models.
- Evaluate model performance under real data testing results.
- Build scalable models and DAGs for new workflows.
Skills
Education
Tools
Important Information Location : BrazilJob Mode : Full‑time Work Mode : Work from home Responsibilities and DutiesWork 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 SkillsBachelor'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 SkillsExperience 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 EncoraEncora 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.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.