Staff Machine Learning - Finance

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 Staff Machine Learning Engineer, you will apply your expertise in machine learning and software engineering to design, develop and scale solutions that power our data science applications. You are not interested in building one-off models anymore. You are an ML engineer who builds data solutions that are deployed at scale to tens of millions of users. You will join us to build assembly lines, not to assemble cars.

1. Collaborate with global teams to deliver massively impactful data products globally.
2. Build ML pipelines that optimize critical processes for our global lending products including anti-fraud, credit strategy, and marketing optimization.
3. Improve our ML infrastructure.
4. Mentor other engineers and data scientists about best practices in ML engineering.
5. Take data products from conception to scale deployment.

1. PhD or master’s in Computer Science, Statistics, Engineering, or a related field.
2. 7+ years of experience as a machine learning engineer, data scientist, or a closely related position.
3. Machine learning algorithms, frameworks, and lifecycle: from data extraction and feature engineering to model serving and monitoring for live and batch processing.
4. Software design skills.
5. Python and libraries and frameworks (e.g., Scikit-Learn, Pandas, Flask, FastAPI, etc).
6. Experience with cloud providers (AWS preferred) and related data services.

1. 100% Company-funded Health and Dental insurance for employees and immediate family members.
2. Life insurance.
3. Phone finance, Headphone, home office equipment and fitness perks.
4. 30 days of Christmas bonus.
5. 20 days paid Vacation.
6. 50% Vacation premium.
7. 13% Saving funds.
8. $2,000 MXN monthly grocery coupons.
9. $2,000 USD annual Co-working Travel perk.
10. $2,000 USD annual Professional Development perk.

Apply now!