• Collaborate with stake holders, DevSecOps and data engineering teams to execute on the analytics roadmap.
• Analyze and explore Big Data from several systems and data sources including databases, data lakes, cloud blob stores, etc. to identify patterns and trends.
• Leverage Python or PySpark to analyze, clean, transform and prepare structured, unstructured and semi-structured data for machine learning models.
• Leverage Python for feature engineering, dimensionality reduction, data preparation, etc.
• Implement machine learning algorithms for object detection, photo manipulation and text extraction using computer vision leveraging OpenCV library as well as deep learning frameworks like TensorFlow and PyTorch.
• Implement NLP-based solutions using libraries such as Spark NLP.
• Create visualizations to help evaluate machine learning models.
• Perform data-driven analysis leveraging various machine learning metrics (e.g. accuracy, confusion matrix, AUC, etc.) to select the best performing machine learning models.
• Collaborate with DevSecOps team to implement micro-services to enable iterative model training, hyper-parameter tuning, continuous learning and model deployment. 
• Write unit, integration and regression tests to automate testing of machine learning pipeline.
• Prepare and maintain documentation for machine learning use cases, metrics and results.
• Leverage cloud-based infrastructure and services for machine learning including AWS and Databricks.
• Create innovative AI/ML solutions for challenging business problems.

• U.S. Citizenship with the ability to obtain a U.S. Government Security Clearance.
• Intermediate to advanced level hands-on experience with Python.
• Hands-on data exploration experience with either Python Pandas DataFrame APIs or PySpark DataFrames.
• Hands-on machine learning experience with at least one major Python library like scikit-learn, Spark MlLib, etc.
• Intermediate to advanced level understanding of various supervised and unsupervised algorithms, their applicability and metrics.
• Demonstrated knowledge and application of numerical optimization of machine learning models.
• Understanding of the modern machine learning life cycle including continuous monitoring, training and deployment.
• Experience with notebook environments for Python (Databricks, SageMaker, Jupyter, etc.)
• Effective communication, documentation and problem-solving skills.
• Ability to work in a fast-paced environment with a can-do attitude.

• Educational background in data science and/or machine learning is strongly preferred.
• Experience with Databricks Unified Analytics Platform is strongly preferred.
• Experience with MLflow for model ML experiment tracking and model storage.
• Experience with AWS machine learning services like Sagemaker, etc.
• Experience with deep learning frameworks like TensorFlow, Pytorch, MXNet, Keras etc.
• Experience with Transformer & LLM models like BERT, GPT, etc.
• Experience with computer vision.
• Experience writing unit, integration and regression tests.

PSI offers full-time, benefits eligible employees a competitive total compensation package that includes paid leave, and options for employer sponsored group medical, dental, vision, short-term and long-term disability, life insurance, AD&D coverage, legal services, identity theft, and accident insurance. Flexible spending account and health saving account options offer pre-tax savings for qualified medical, dental, and vision expenses. The company sponsored 401(k) retirement plan has an employer contribution match that is immediately vested. We invest in the professional growth of our employees through professional courses, certifications, and tuition reimbursement programs.

It is company policy to promote equal employment opportunities. All personnel decisions, including, but not limited to, recruiting, hiring, training, promotion, compensation, benefits, and termination, are made without regard to race, color, religion, age, sex, sexual orientation, pregnancy, gender identity, genetic information, national origin, citizenship status, veteran status, protected veteran status, disability, or any other characteristic protected by applicable federal, state, or local law.

Reasonable accommodations for applicants and employees with disabilities will be provided. If a reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Human Resources by emailing HRDepartment@plan-sys.com, or by dialing 703-575-8400.