Machine Learning Engineer

Fintech

Fintech

Software Engineering

Tampa, FL, USA

Posted 6+ months ago

Join Fintech as a Machine Learning Engineer!

Fintech is seeking a highly motivated and talented Machine Learning Engineer to join our growing data science team. You will play a key role in developing and deploying machine learning models to power our next generation of recommendation systems and data-driven insights. This is a hands-on role requiring strong technical skills and a passion for solving complex problems using cutting-edge machine learning techniques.

Essential Functions:

  • Design, develop, and deploy machine learning models for recommendation systems leveraging deep learning techniques.
  • Develop and implement entity recognition models to enhance data understanding and accuracy.
  • Analyze and interpret large-scale aggregate time series datasets to generate actionable business insights and forecasts.
  • Collaborate with data engineers and other stakeholders to extract, transform, and load (ETL) data from an enterprise-grade data warehouse.
  • Develop and maintain robust, scalable, and efficient machine learning pipelines.
  • Conduct thorough model evaluation and performance monitoring.
  • Contribute to the improvement of our existing machine learning infrastructure and processes.
  • Stay up-to-date with the latest advancements in machine learning and deep learning.

Qualifications:

  • Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field.
  • 1-3 years of experience in machine learning development, with a focus on deep learning techniques.
  • Proven experience in developing recommendation systems and implementing entity recognition models.
  • Experience in analyzing and summarizing aggregate time series data, including forecasting and anomaly detection.
  • Demonstrated experience interacting with and querying enterprise-grade data warehouses (e.g., Snowflake, BigQuery, Redshift). Proficiency in SQL is essential.
  • Strong programming skills in Python, including experience with relevant libraries such as TensorFlow, PyTorch, scikit-learn, Pandas, and NumPy.
  • Experience with cloud-based machine learning platforms (e.g., AWS SageMaker, Google Cloud AI Platform, Azure Machine Learning) is a plus.
  • Excellent communication and collaboration skills.
  • Experience with containerization technologies (e.g., Docker, Kubernetes).
  • Experience with MLOps principles and practices.
  • Familiarity with data visualization tools such as Plotly Dash.

Our Benefits:

  • Employer Matched 401K
  • Company Paid Medical Insurance Option for Employee and Dependent Children
  • Company Paid Dental Insurance for Employee
  • Company Paid Vision Insurance for Employee
  • Company Paid Long and Short-Term Disability
  • Company Paid Life and AD&D Insurance
  • 18 Paid Vacation Days a Year
  • Six Paid Holidays
  • Employee Recognition Programs
  • Incentive Compensation
  • Community Outreach Opportunities
  • Business Casual Dress Code

About Fintech:

Fintech, a pioneering accounts payable (AP) automation solutions provider, has dedicated nearly 35 years to automating invoice processing between retail and hospitality businesses, and their supply chain partners. Backed by leading investors TA Associates and General Atlantic, it stands as a leader in this sector. Its flagship product, PaymentSource®, was first built for the alcohol industry to provide invoice payment automation between alcohol distributors and their customers across all 50 states. Today, it is utilized by over 245,000 businesses nationwide for invoice payment and collection associated with all B2B business transactions. This proven platform automates invoice payment, streamlines payment collection, and facilitates comprehensive data capture for over 1.1 million business relationships. Recognizing operational hurdles, Fintech expanded its payment capabilities to include scan-based trading/consignment selling for its vendors and retailers and built an advanced CRM tool with functionality to fortify vendor, supplier, and distributor field execution, addressing diverse profit center challenges. For more information about Fintech and its range of solutions, please visit www.fintech.com.

Fintech is an Equal Opportunity Employer that does not discriminate on the basis of actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth and pregnancy-related conditions), gender identity or expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, genetic information, or any other characteristic protected by applicable federal, state, or local laws and ordinances. Fintech’s management team is dedicated to this policy with respect to recruitment, hiring, placement, promotion, transfer, training, compensation, benefits, employee activities, access to facilities and programs and general treatment during employment. Fintech is a Drug-Free Workplace. We E-Verify.