At Truelogic we are a leading provider of nearshore staff augmentation services headquartered in New York. For over two decades, we’ve been delivering top-tier technology solutions to companies of all sizes, from innovative startups to industry leaders, helping them achieve their digital transformation goals.
Our team of 600+ highly skilled tech professionals, based in Latin America, drives digital disruption by partnering with U.S. companies on their most impactful projects. Whether collaborating with Fortune 500 giants or scaling startups, we deliver results that make a difference.
By applying for this position, you’re taking the first step in joining a dynamic team that values your expertise and aspirations. We aim to align your skills with opportunities that foster exceptional career growth and success while contributing to transformative projects that shape the future.
Financial service provider dedicated to helping under-served customers in emerging markets to achieve financial stability and success. We lend through our patented technology that turns a smartphone into digital collateral, and our cutting-edge machine learning, data science, and anti-fraud AI allow us to offer the lowest cost and qualify the most customers in the industry. As of 2024 we have brought billions of dollars in credit to 12 million customers, doubling in the last two years while remaining strongly profitable and sustainable for the long term.
As a Machine Learning Engineer, you will play a critical role in developing and maintaining the core systems and infrastructure that power our data science applications. This position is platform/tooling focused.
You will work closely with other engineers, data scientists, risk/fraud analysts and product managers to build, maintain and improve the whole ML platform where our models and other DS products run. You will also develop tools that help our modeling team to create features, train, retrain, deploy, serve and monitor ML models.
Collaborate with global teams including Risk, Fraud, Engineering and Product to deliver world-class data science products to international markets, including ML models, infrastructure and tools.
Own the life cycle (design, development, deployment, delivery and monitoring) of the infrastructure that powers our ML models that serve 300 million transactions per month and ensure they have optimal performance.
Drive the enablement of our modeling team by building new tools or adopting new technologies that will allow them to extract data, generate features and deploy/serve models with ease.
Work with a data-driven mindset and understand the critical importance of handling data properly and safely.
Organize frameworks and develop processes in our codebase so that the easy and default coding style is cleanly structured.
Mentor other engineers and data scientists about best practices in engineerin
Bachelor’s degree in Computer Science, Engineering, or a related field
3+ years of experience as a machine learning engineer, data engineer or a closely related position with a proven track record of writing production-level code and developing and maintaining ML infrastructure.
Good verbal and written communication skills in English
Comprehensive knowledge of ML life cycle: from data extraction and feature engineering to model serving and monitoring for live and batch processing.
High proficiency in Python and a strong understanding of its related libraries and frameworks (e.g., Scikit-Learn, Pandas, Flask, FastAPI, etc).
Strong background in feature store implementation and usage (Chalk.ai, Tecton, Databricks, Feast, etc.), particularly focused on managing large volumes of data for online and offline processing.
Demonstrated experience with cloud providers (AWS preferred) and related data services (e.g., databases, storage, serverless computing).
Ability to work in a fast paced environment with constant requirement changes.
100% Company-funded Health and Dental Insurance for employees and immediate family members
Life insurance
Indefinite-term contract
20 days of vacations
Phone finance, Headphone, home office equipment and fitness perks.
$2,000 USD annual Co-working Travel per
$2,000 USD annual Professional Development perk
Apply now!
