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8,584

Sql jobs in Brazil

Tech Lead Machine Learning/Data Engineer

Encora Inc.

Curitiba
Remote
BRL 120,000 - 160,000
Yesterday
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Pessoa Desenvolvedora Backend (Ia)

Totvs

Alvorada
On-site
BRL 120,000 - 160,000
Yesterday
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Software Engineer Sênior

Artefact

Sapucaia do Sul
Hybrid
BRL 160,000 - 200,000
Yesterday
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Senior Software Engineer (LAMP / Angular / JavaScript)

Velozient

Porto Alegre
Remote
BRL 120,000 - 160,000
Yesterday
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Pessoa Desenvolvedora Backend (Ia)

Totvs

Várzea Paulista
On-site
BRL 120,000 - 160,000
Yesterday
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Product Analyst

Tata Consultancy Services

Contagem
On-site
BRL 120,000 - 160,000
Yesterday
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Product Analyst

Tata Consultancy Services

Cachoeiro de Itapemirim
On-site
BRL 120,000 - 160,000
Yesterday
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Data Analyst

Pride Global

Alvorada
Remote
BRL 120,000 - 160,000
Yesterday
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Product Analyst

Tata Consultancy Services

Araquari
On-site
BRL 120,000 - 160,000
Yesterday
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Pessoa Desenvolvedora Backend (Ia)

Totvs

Pouso Alegre
On-site
BRL 120,000 - 160,000
Yesterday
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Product Analyst

Tata Consultancy Services

Santo André
On-site
BRL 80,000 - 100,000
Yesterday
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Pessoa Desenvolvedora Backend (Ia)

Totvs

Pelotas
On-site
BRL 120,000 - 160,000
Yesterday
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Senior Software Engineer - C#

Prosigliere

Rio das Ostras
Remote
BRL 331,000 - 442,000
Yesterday
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Engenheiro De Dados Pleno

Atos

Itapecerica da Serra
Remote
BRL 20,000 - 80,000
Yesterday
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Pessoa Desenvolvedora Frontend

Totvs

Rio das Ostras
On-site
BRL 120,000 - 160,000
Yesterday
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Data Engineer

Calyptus

Fortaleza
On-site
BRL 386,000 - 497,000
Yesterday
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Data Analyst

Net2Source (N2S)

Itatiba
On-site
BRL 120,000 - 160,000
Yesterday
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Data Analyst

Net2Source (N2S)

Cabo Frio
On-site
BRL 120,000 - 160,000
Yesterday
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Data Analyst

Pride Global

Petrópolis
Remote
BRL 120,000 - 160,000
Yesterday
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Senior Software Engineer (Python/Data Engineering)

Luxoft

São Paulo
On-site
BRL 160,000 - 200,000
Yesterday
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Data Analyst

Pride Global

Viamão
Remote
BRL 331,000 - 442,000
Yesterday
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Pessoa Desenvolvedora Backend (Ia)

Totvs

Manaus
On-site
BRL 120,000 - 160,000
Yesterday
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Senior Quality Assurance Engineer

Velozient

Barueri
Remote
BRL 60,000 - 90,000
Yesterday
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Senior Quality Assurance Engineer

Velozient

Ivoti
Remote
BRL 386,000 - 497,000
Yesterday
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Product Analyst

Tata Consultancy Services

São Luís
On-site
BRL 120,000 - 160,000
Yesterday
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Tech Lead Machine Learning/Data Engineer
Encora Inc.
Curitiba
On-site
BRL 120,000 - 160,000
Full time
2 days ago
Be an early applicant

Job summary

A leading technology services company is seeking a Full-time remote position focused on machine learning and statistical models. The ideal candidate will work with a high-skilled team, implement models via DAGs, and evaluate performance. Essential skills include a Bachelor's degree in relevant fields and hands-on experience in statistical analysis and Python programming. Knowledge of SQL and DAG implementation is crucial. The work environment is dynamic, emphasizing collaboration and technical discussions using English.

Qualifications

  • Hands-on experience in statistical analysis and Machine Learning modeling using Python.
  • Desire to solve problems pragmatically using Machine Learning techniques.
  • Knowledge of probability and statistical modeling.

Responsibilities

  • Work with a high-skilled team on complex machine learning models.
  • Implement model to service integration via DAG creations.
  • Evaluate model performance under real data testing results.

Skills

Machine Learning techniques
Statistical modeling
Python programming
SQL

Education

Bachelor's degree in Statistics, Computer Science, Applied Mathematics, Electrical Engineering, or Physics

Tools

Pandas
PySpark
Airflow
AWS
Azure
GCP
Job 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.

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* 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.

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