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Machine Learning Engineer (Python / SQL) - São Paulo (Contract)

Machine Learning Engineer (Python / SQL) - São Paulo (Contract)

First Help FinancialSão Paulo, São Paulo, Brazil
Há 7 dias
Descrição da vaga

First Help Financial (FHF) is a fast‑growing and culturally diverse company in the U.S. We provide auto loans to the underserved and care for our customers and partners with exceptional service. Through flexible financing options and tri‑lingual support, we offer consumers an easier way to finance their first car. We lend to and support our portfolio which has consistently grown 30%+ each year over the last nine years. Here you will find hard‑working colleagues who come from over 20 countries. We hold ourselves to the highest standards of professionalism but also enjoy our work. Our culture and benefits are geared towards making you successful in life and comfortable at work.

Your Title : Machine Learning Engineer

Your compensation : A starting salary of $18,000 BRL or more, depending upon experience

Learn more about our awesome Analytics Team

About the Opportunity :

First Help Financial, recently voted as a "Great Place to Work" for the fifth year in a row, is seeking a Machine Learning Engineer to join our highly skilled and innovative team. First Help Financial is embarking on a new growth phase involving multiple game‑changing projects.

#Python #SQL #DataScience #MachineLearning #ModelDevelopment #ModelDeployment #AWS

What you will do

  • Design, develop, and implement machine learning models to solve complex business problems such as risk prediction, customer segmentation, and process optimization.
  • Collaborate with engineering, data team, and business stakeholders to define project objectives, success metrics, and data requirements.
  • Clean, preprocess, and transform large and complex datasets for model training and validation.
  • Develop and maintain scalable machine learning pipelines for training, testing, and deployment in production environments.
  • Optimize model performance through feature engineering, hyperparameter tuning, and validation techniques.
  • Integrate machine learning solutions into existing applications and systems using APIs or microservices.
  • Monitor, maintain, and improve models post‑deployment to ensure accuracy and business relevance.
  • Document technical processes and communicate findings and results to both technical and non‑technical audiences.
  • Stay current with emerging technologies, tools, and methodologies in AI and machine learning.

What you bring

  • Bachelor's degree in Computer Science, Software Engineering, or a related field.
  • 5+ years of professional Machine Learning or model development experience.
  • Demonstrated historical career stability.
  • Solid foundation in computer science, mathematics, statistics, and data science / business analytics.
  • Highly tactical and hands‑on contributor with strong proficiency in SQL, Python, and machine learning / deep learning frameworks.
  • Demonstrated ability to build and deploy models independently; requires minimal guidance or supervision.
  • Strong programming and modeling skills with a focus on real‑world application and scalability.
  • Experience in model development, including feature engineering, training, validation, and performance tuning.
  • Exposure to model deployment in production environments (e.g., APIs, cloud platforms, MLOps pipelines).
  • Analytical thinker with a structured approach to problem‑solving and data exploration.
  • Comfortable working with large datasets and complex business problems.
  • Strong communication skills to translate technical insights into actionable business recommendations.
  • Perks and Benefits

  • Great Perks – We offer generous salaries, social activities, monthly lunches, and a robust employee recognition and talent development program to enhance your career with us.
  • Culture – We are believers in maintaining a healthy work‑life balance. While we work hard and care deeply about our customers and partners, we want you to have room for your family, friends, and yourself.
  • Growth – Company growth provides unprecedented career growth. FHF's extraordinary year‑over‑year growth in revenue and new markets provides opportunity for you to establish and develop your career growth. We engage each employee to build a career plan that benefits everyone, and we have a proven record of investing in you.
  • Diversity and Inclusion

    FHF is committed to building a culture that respects and embraces all walks of life, inclusive of all genders, race, culture, age, sexual orientation, and other identities. We will make accommodations when interviewing anyone with special needs.

    Seniority level : Entry level

    Employment type : Contract

    Job function : Engineering and Information Technology

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