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Tech Lead Machine Learning / Data Engineer
Job summary
A leading digital engineering firm is seeking a professional to work on complex machine learning models and their seamless integration using Python. Applicants should hold a Bachelor's degree in a relevant field and possess hands-on experience in statistical analysis and model evaluation. The role is fully remote, promoting a collaborative environment with a distributed team. Essential skills include proficiency in SQL and familiarity with cloud tools like AWS and GCP.
Qualifications
- Bachelor’s degree in a related technical field is essential.
- Hands-on experience with machine learning modeling in Python.
- Desire to translate requirements into design and code.
Responsibilities
- Work with a skilled team on complex machine learning models.
- Implement model integration through DAG and ETL processes.
- Evaluate and optimize model performance based on real data.
Skills
Education
Tools
Location : Brazil
Job Mode : Full-time
Work Mode : Work from home
- 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.
- 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.
- 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.
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.
* 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.