Piper Companies is seeking an AI/Machine Learning Ops Engineer to join a mission-critical forward team to design and deploy scalable ML pipelines, lead NLP and machine learning initiatives, and apply statistical modeling to solve complex business problems.
Requirements
- 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
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.
- 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.
Other
- Master's Degree + 5 years’ relevant experience OR Bachelor’s degree + 7 years of experience
- Minimum Public Trust clearance or eligibility is required.
- Collaborate across teams, providing technical guidance and fostering a high-performing, motivated work environment.
