Machine Learning Software Engineer - Software (ID: 1689)

Truelogic is a leading provider of nearshore staff augmentation services, located in New York. Our team of 500 tech talents is driving digital disruption from Latin America to the top projects in U.S. companies. Truelogic has been assisting companies of all sizes in reaching their digital transformation objectives.

Do you want to bring innovation to life? Have you ever dreamt of creating products that impact millions of users? Great! We have a place for you in our team!

What will you be doing?

You will have the chance to work in a forward-thinking and growth-oriented environment, at a Software Company that sparks opportunity by setting the world in motion. They address major issues to assist drivers, riders, delivery partners, and eaters in over 10,000 cities globally.

You will occupy a unique position in the market...It's a challenging but rewarding job. You will have numerous opportunities to collaborate with product managers, data scientists, and engineers from other teams. You will take part in the complete development cycle of a software product, from product scoping, architectural design, software implementation, to production, and learn how to refine a product for more significant success.

• Develop backend ML systems & data processing pipelines that will simulate and optimize Business Technology Engineering products and services.
• Work with data science and engineering teams to identify problems, brainstorm solutions, evaluate the scope, design, implement and test improvements.
• Analyze ML model performance and suggest ways to enhance. Dive deep into the data queries and pipelines to pinpoint data quality issues.
• Write high-quality, modular, and maintainable code and constantly enhance code quality through refactoring and/or advocating for best practices.
• Review code and designs and provide feedback.

What will help you succeed

• 5-years of full-time experience in Machine Learning Engineering work.
• Experience in using Golang and Python (pandas, scipy, or numpy, etc) for scientific computations and object-oriented programming.
• Experience in using SQL (Presto, Hive, or Spark, etc) for data querying.
• Experience in applying machine learning models to solve real-world challenges.