AI​/Machine Learning Ops Engineer

Position: AI/Machine Learning Ops Engineer Jobs Piper Companies is seeking a AI/Machine Learning Ops Engineer to join a mission-critical forward team in Woodlawn, MD. Responsibilities • Design and deploy scalable ML pipelines using Python and modern frameworks (e.g., Tensor Flow, 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/Postgre SQL and No SQL databases (e.g., Mongo DB) for data processing and model integration. • Leverage cloud platforms and big data tools (AWS, Azure, Spark, Hadoop) to support AI-driven solutions. Qualifications • 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: • Programming Languages: Python (Expert) • Databases: Postgre SQL (Expert), MongoDB • ML Frameworks & Libraries: Tensor Flow, 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 • No SQL databases: DB2, Oracle, MySQL, HBase • Big Data technologies: Hadoop, Spark, HDFS, Map Reduce, YARN, Scala, Py Spark • 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 where 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. , k-NN, Regression, Classification, Ensemble Methods, Graphical Models, Clustering, Feature Extraction, Sparse Data Analysis, Information Extraction, Semantic Parsing, Chunking, Tokenization, Pattern Recognition, Git, Tesseract, Regular Expressions, Postgre SQL, Mongo DB, SQL, No SQL, DB2, Oracle, MySQL, HBase, AWS, Azure, GCP, Spark, Hadoop, HDFS, Map Reduce, YARN, Scala, PySpark, SOAP, WSDL, WS-Security, XML, XSD, XPath, XSLT, IBM MQ Series, ebXML, cloud platforms, big data, statistical modeling, scalable ML pipelines, model integration, public trust clearance, remote work, U.S. citizen, enterprise integration, mission-critical, cross-functional collaboration, technical guidance, high-performing teams. #J-18808-Ljbffr Apply tot his job