AI/Machine Learning Ops Engineer- PUBLIC TRUST

ZP Group•Woodlawn, MD

55d•$115,000 - $125,000

About The Position

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.

Requirements

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

Nice To Haves

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

Responsibilities

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.