Machine Learning Engineer
Machine Learning Engineer
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Job Description
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 toplender 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 cuttingedge AI tools that automate enhance and secure the mortgage lending journey. You ll solve realworld problems help shape risk strategies and make meaningful changes across a growing fintech ecosystem.
Fast Facts About This Role
Shift: Monday to Friday 08:00 AM 05:00 PM
Work Setup: Remote / Work from Home
- 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
Requirements
What You Bring to the Table
- C1level proficiency in English
- 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 Scikitlearn
- 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 problemsolving skills and the ability to collaborate in crossfunctional 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 AIbased financial risk modeling and credit scoring systems
- Experience deploying models within microservicesbased architectures
Benefits
Perks That Go Beyond the Paycheck
- 5 days work week
- Weekends off
- Work from home arrangement
- 20 vacation days in total
- Prepaid medicine
- Fullycustomized Emapta laptop and peripherals
- Indefinite term type contract
- Direct exposure to our clients
- Career growth opportunities
- Diverse and supportive work environment
- Prime Office Locations Bogot and Medellin
- Unlimited upskilling through Emapta Academy courses (Want to know more Visit 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 stateoftheart facilities competitive compensation and a supportive work environment that fosters professional growth. With over 800 clients worldwide and a team of nearly 9300 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
What You Bring to the Table C1-level proficiency in English 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
Employment Type
Full Time
Company Industry
Financial Services / Insurance Agencies and Brokerages / Investment Banking
