.NET, AWS Engineer
Insight Value
AWSAzureCloudDockerDynamoDB.NETNoSQLTerraform
Machine Learning Engineer, Python, SQL
First Help Financial
contract
Posted on:
Location Type: Hybrid
Location: São Paulo • 🇧🇷 Brazil
Visit company websiteSalary
💰 R$18,000 per year
Job Level
Mid-LevelSenior
Tech Stack
CloudMicroservicesPythonSQL
About the role
- 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.
Requirements
- Bachelor's degree in Computer Science, Software Engineering, or a related field required.
- 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.
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*.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningmodel developmentfeature engineeringhyperparameter tuningSQLPythondata preprocessingmodel validationmodel deploymentMLOps
Soft skills
analytical thinkingproblem-solvingcommunicationcollaborationtactical contributionindependencestructured approachtechnical documentationstakeholder engagementbusiness relevance
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