1 week ago Be among the first 25 applicants Transforming Homeownership Through Smart Tech Innovation In the mortgage lending world, our client, Neighborhood Loans is a powerhouse—streamlining homeownership since 2009 with precision, purpose, and process . They’re not just pushing paper; they’re pushing boundaries. From winning top-lender awards across Illinois to consistently landing on the Inc. 5000 list, their track record speaks volumes. With every loan closed and every client empowered, they’re raising the bar in an industry built on trust. For professionals ready to code smarter paths in fintech, this is where innovation meets impact. What You’ll Be Doing Be part of our client’s team as a Machine Learning Engineer where you’ll architect cutting-edge AI tools that automate, enhance, and secure the mortgage lending journey. You’ll solve real-world problems, help shape risk strategies, and make meaningful changes across a growing fintech ecosystem. Fast Facts About This Role Employment Type: Indefinite Term Contract Shift: Monday to Friday, 08:00 AM – 05:00 PM Work Setup: Remote / Work from Home Perks That Go Beyond the Paycheck 5 days work week Work from home arrangement 20 vacation days in total Fully-customized Emapta laptop and peripherals Indefinite term type contract Direct exposure to our clients Diverse and supportive work environment Unlimited upskilling through Emapta Academy courses (Want to know more? Visit https://bit.ly/EmaptaTrainingCalendar ) What You Bring to the Table Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field Minimum of 3 years of experience developing machine learning models, preferably in the financial or mortgage sector Proficiency in Python and major ML libraries/frameworks such as TensorFlow, PyTorch, and Scikit-learn Experience with natural language processing (NLP) techniques using tools like spaCy, NLTK, or similar for document automation and compliance Strong knowledge of cloud platforms such as AWS, Azure, or Google Cloud for AI model deployment Familiarity with U.S. mortgage regulations including Fannie Mae, Freddie Mac, VA, and FHA Experience using OCR (Optical Character Recognition) tools to digitize and interpret loan documents Strong problem-solving skills and the ability to collaborate in cross-functional teams Nice to Have: Experience using Robotic Process Automation (RPA) tools to streamline workflows Familiarity with big data technologies such as Apache Spark, Hadoop, or Snowflake Exposure to AI-based financial risk modeling and credit scoring systems Experience deploying models within microservices-based architectures What’s in Your Toolbox? These Will Be Your Day-to-Days Develop and deploy machine learning models for mortgage tasks such as underwriting, document verification, risk modeling, and fraud detection Design predictive analytics models for credit scoring and borrower risk evaluation Apply natural language processing (NLP) techniques for automated document extraction, classification, and compliance verification Build scalable data pipelines to process structured and unstructured mortgage datasets Collaborate with mortgage professionals, engineers, and compliance teams to align models with business objectives and regulatory requirements Optimize and monitor model performance in production environments to improve accuracy and reduce bias Ensure AI solutions comply with FNMA, FHLMC, VA, and FHA guidelines Recommend enhancements by tracking emerging AI/ML trends to drive automation and efficiency Your Future Team at Emapta Latam Join Emapta Latam and contribute to our legacy of transforming global outsourcing. Since 2010, Emapta has pioneered personalized outsourcing solutions, empowering businesses to thrive with bespoke teams and seamless integration. Our commitment to excellence is reflected in our state-of-the-art facilities, competitive compensation, and a supportive work environment that fosters professional growth. With over 800 clients worldwide and a team of nearly 9,300 talented professionals, Emapta continues to set new standards in the industry. Apply now to be part of our success story in Colombia, where your skills are valued, and your career ambitions are supported. #EmaptaEra Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Information Technology Referrals increase your chances of interviewing at Emapta Global by 2x Sign in to set job alerts for “Machine Learning Engineer” roles. 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