Job Search and Career Advice Platform

Ativa os alertas de emprego por e-mail!

JavaScript Fullstack

Encora Inc.

Teletrabalho

BRL 250.000 - 300.000

Tempo integral

Hoje
Torna-te num dos primeiros candidatos

Cria um currículo personalizado em poucos minutos

Consegue uma entrevista e ganha mais. Sabe mais

Resumo da oferta

A leading digital engineering firm is seeking a talented professional with expertise in machine learning and statistical models. You will work with a high-skilled team to leverage complex models, implement service integration through DAGs, and evaluate model performance. A Bachelor's degree in a related field is required, along with hands-on experience in Python and statistical analysis. This full-time position offers a work-from-home arrangement, allowing you to collaborate with a distributed team globally.

Qualificações

  • Desire to work collaboratively with team members and product managers.
  • Hands-on experience with model evaluation and deployment.
  • Knowledge of model life cycle, data drift, and finops data treatment.

Responsabilidades

  • Leverage machine learning and statistical models for high-quality solutions.
  • Implement service integration via DAG creations and ETL processes.
  • Evaluate and improve model performance based on real data tests.

Conhecimentos

Machine Learning techniques
Statistical analysis
Problem-solving
DAG definition and implementation
SQL and relational databases
Communication in English

Formação académica

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

Ferramentas

Python
pandas
PySpark
Airflow
AWS, Azure, GCP
Descrição da oferta de emprego

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.

Obtém a tua avaliação gratuita e confidencial do currículo.
ou arrasta um ficheiro em formato PDF, DOC, DOCX, ODT ou PAGES até 5 MB.