AI/Machine Learning Ops Engineer- PUBLIC TRUST

Piper Companies is seeking a AI/Machine Learning Ops Engineer to join a mission-critical forward team in Woodlawn, MD. Candidate needs to have a public trust minimum.

Responsibilities for the Machine Learning Ops Engineer include:

·       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 include:

•    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:

o  Programming Languages: Python (Expert)

o  Databases: PostgreSQL (Expert), MongoDB

o  ML Frameworks & Libraries: TensorFlow, PyTorch, Transformers, Scikit-learn, XGBoost, Keras, Pandas

o  NLP Techniques: Information Extraction, Semantic Parsing, Chunking/Tokenization, Pattern Recognition

o  Model Types: BERT, CNN, RNN, LSTM, SVMs, k-NN, Regression, Classification, Ensemble Methods, Graphical Models, Clustering

o  Tools & Technologies: Git, Tesseract, Regular Expressions

o  Statistical Modeling: Classification, Feature Extraction, Sparse Data AnalysisPreferred skills

o  Cloud platforms: AWS, Azure, GCP

o  Web service technologies: SOAP, WSDL, WS-Security

o  NoSQL databases: DB2, Oracle, MySQL, HBase

o  Big Data technologies: Hadoop, Spark, HDFS, MapReduce, YARN, Scala, PySpark

o  XML and related technologies: XSD, XPath, XSLT

o  Messaging systems: IBM MQ Series

o  ebXML and other enterprise integration standards

Compensation for the Machine Learning Ops Engineer includes:

• 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 9/29/25. Applications for this job will be accepted for at least 30 days from the posting date.



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