Machine Learning Engineer

Raleigh, North Carolina

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At Enact Mortgage Insurance (Nasdaq: ACT), we understand that there’s no place like home. That’s why we bring our deep expertise, insightful offerings, and extra mile service to work every day to help lenders put more people in homes and keep them there.

 

We’re looking for a Machine Learning Engineer in Raleigh, NC to join us in fulfilling our mission, while utilizing our values of excellence, improvement and connection. The ML Engineer reports to the Senior Manager, Data & Analytics Engineering in the IT Organization and is responsible for maintaining and enhancing the risk and pricing predictive models and the enterprise technology platform that runs the models.

 

This role will be responsible for working on various solution components in AWS and Snowflake suite of tools as part of the end-to-end ML engineering solutions. This role will bring deep expertise in ML Ops solutions by building components and pipelines that support and guide Enact’s machine learning and data science operations. This person will be a consummate team player and participate in code reviews, design reviews, and operate with a mindset of continuous improvement.

 

LOCATION
Enact Headquarters, Raleigh, NC – Hybrid Schedule

 

YOUR RESPONSIBILITIES

  • Design and develop ML frameworks and deep learning applications and systems.

  • Extend and enrich existing ML frameworks and libraries.

  • Construct optimized data pipelines to feed ML models.

  • Collaborate with data scientists, administrators, data analysts, data engineers, and data architects on production systems and applications.

  • Research, experiment with, and implement suitable ML operational processes and tools.

  • Train and re-train ML systems and models as and when necessary.

  • Perform statistical analysis and fine-tune models using test results.

  • Explore and visualize data for better understanding

  • Identify differences in data distribution that could impact model performance when deploying it in real-world scenarios.

  • Stay up to date with developments in the machine learning and AI space to educate and advise data scientists to improve their day-to-day ML operations.

 

YOUR QUALIFICATIONS

  • Bachelor’s Degree in Computer Science, Mathematics, Physics, or other technical fields.

  • 3+ years of hands-on experience with data modeling, developing analytical data sets and software architecture

  • 3+ years working with various Machine Learning libraries and packages like Scikit learn, Theano, TensorFlow, Matplotlib, Caffe, etc.

  • Programming experience in Python, SQL

  • Working knowledge AWS ML, compute, and storage products.

  • Knowledge of Big Data frameworks like Hadoop, Spark, Pig, Hive, Flume, etc.

  • Strong written and verbal communication skills.

  • Intrinsically motivated to learn and grow.

  • Proven collaboration skills.

  • Excellent time management and organizational skills.

  • Strong analytical skills with high attention to detail and accuracy. Demonstrated ability to successfully collaborate with business stakeholders.

  • Working knowledge of forecasting techniques, supervised and unsupervised predictive models.

 

PREFERRED QUALIFICATIONS

  • Knowledge of Big Data frameworks like Hadoop, Spark, Pig, Hive, Flume, etc.

  • Experience working in risk modeling and analytics, and or in financial services companies.

  • Master's degree in machine learning, neural networks, deep learning or related fields.

  • Advanced Math and Statistics skills (linear algebra, calculus, Bayesian statistics, regression & forecasting techniques, etc.).

 

COMPANY

Enact is a leading publicly traded U.S. private mortgage insurance provider, offering borrower-centric products that enable lenders and other partners across the U.S. to help people responsibly achieve and maintain the dream of homeownership.

 

By empowering customers and their borrowers, Enact seeks to positively impact the lives of those in the communities in which it serves in a sustainable way. Headquartered in Raleigh, North Carolina, we play an active role in supporting a healthier Triangle community. We also support our colleagues’ philanthropic efforts in their home communities across the U.S.

 

Enact values all perspectives, characteristics and experiences, and DEI remains at the forefront of what we do. We strive to create an environment where employees can bring their full, authentic selves to work to help each other and their customers.

 

We are proud to be an equal opportunity employer, and all hiring decisions are based on merit, qualifications, and business need.  We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

 

WHY WORK AT ENACT

We bring innovative thinking to the situations at hand

We seek out and incorporate diverse views to strengthen our outcomes

We work on challenging and rewarding projects

We offer competitive benefits:

  • Hybrid work schedule (shared in-office days Tuesdays – Thursdays)

  • Generous Time Off

  • 40 Hours of Volunteer Time Off

  • Tuition Reimbursement and Student Loan Repayment

  • Paid Family Leave and Flexible Spending Accounts

  • 401k with up to 5% employer match

  • Fitness and Emotional Wellness Reimbursements

 

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Architecture AWS Bayesian Big Data Caffe Computer Science Data pipelines Deep Learning Engineering Hadoop Linear algebra Machine Learning Mathematics Matplotlib ML models Physics Pipelines Python Research Scikit-learn Snowflake Spark SQL Statistics TensorFlow Theano

Perks/benefits: 401(k) matching Career development Fitness / gym Flex hours Flex vacation Insurance Wellness

Region: North America
Country: United States

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