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Piper Companies

AI/Machine Learning Ops Engineer

Piper Companies, Woodlawn

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Overview

Piper Companies is seeking a AI/Machine Learning Ops Engineer to join a mission-critical forward team in Woodlawn, MD.

Responsibilities for the Machine Learning Ops Engineer

  • Design and deploy scalable ML pipelines using Python and modern frameworks (e.g., TensorFlow, PyTorch, Transformers).
  • Lead NLP and machine learning initiatives, applying statistical modeling and domain knowledge to solve complex business problems.
  • Collaborate across teams, providing technical guidance and fostering a high-performing, motivated work environment.
  • Utilize SQL/PostgreSQL and NoSQL databases (e.g., MongoDB) for data processing and model integration.
  • Leverage cloud platforms and big data tools (AWS, Azure, Spark, Hadoop) to support AI-driven solutions.

Qualifications for the Machine Learning Ops Engineer

  • Master's Degree + 5 years’ relevant experience OR Bachelor’s degree + 7 years of experience
  • Minimum Public Trust clearance or eligibility is required
  • Expert proficiency in the following: Programming Languages: Python (Expert); Databases: PostgreSQL (Expert), MongoDB; ML Frameworks & Libraries: TensorFlow, PyTorch, Transformers, Scikit-learn, XGBoost, Keras, Pandas; NLP Techniques: Information Extraction, Semantic Parsing, Chunking/Tokenization, Pattern Recognition; Model Types: BERT, CNN, RNN, LSTM, SVMs, k-NN, Regression, Classification, Ensemble Methods, Graphical Models, Clustering; Tools & Technologies: Git, Tesseract, Regular Expressions; Statistical Modeling: Classification, Feature Extraction, Sparse Data Analysis; Cloud platforms: AWS, Azure, GCP; Web service technologies: SOAP, WSDL, WS-Security; NoSQL databases: DB2, Oracle, MySQL, HBase; Big Data technologies: Hadoop, Spark, HDFS, MapReduce, YARN, Scala, PySpark; XML and related technologies: XSD, XPath, XSLT; Messaging systems: IBM MQ Series; ebXML and other enterprise integration standards

Compensation

  • Salary Range: $115,000- $125,000 depending on experience
  • Full Benefits: Comprehensive benefits package (Healthcare, Dental, Vision, 401k, Paid Time Off, and Sick Leave (if required by law))

This job opens for applications on 9/22/25. Applications for this job will be accepted for at least 30 days from the posting date.

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