Tech Lead Machine Learning/Data Engineer

Posted Yesterday
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Hiring Remotely in Brazil
Remote
Mid level
Software • Consulting
The Role
The Tech Lead Machine Learning/Data Engineer will develop and integrate machine learning models, evaluate their performance, and adapt them for high-demand environments while collaborating with distributed teams.
Summary Generated by Built In

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.

Top Skills

Airflow
AWS
Azure
GCP
Pyspark
Python
SQL
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The Company
Chennai
7,456 Employees
Year Founded: 1980

What We Do

Headquartered in Santa Clara, California, and backed by renowned private equity firms Advent International and Warburg Pincus, Encora is the preferred technology modernization and innovation partner to some of the world’s leading enterprise companies. It provides award-winning digital engineering services including Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering. Encora's deep cluster vertical capabilities extend across diverse industries, including HiTech, Healthcare & Life Sciences, Retail & CPG, Energy & Utilities, Banking Financial Services & Insurance, Travel, Hospitality & Logistics, Telecom & Media, Automotive, and other specialized industries.
With over 9,000 associates in 47+ offices and delivery centers across the U.S., Canada, Latin America, Europe, India, and Southeast Asia, Encora delivers nearshore agility to clients anywhere in the world, coupled with expertise at scale in India. Encora’s Cloud-first, Data-first, AI-first approach enables clients to create differentiated enterprise value through technology

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