Key Responsibilities:
Design and Develop Pega Applications: Build and maintain Pega-based applications by following best practices and leveraging the Pega platform’s tools and features. Integrate machine learning models into Pega workflows and processes to enhance automation and decision-making. Utilize Pega's Decisioning and AI capabilities to design decisioning strategies, predictive models, and real-time decision-making systems.
Experience:
3+ years of experience as a Pega developer, with proficiency in Pega PRPC (Pega Rules Process Commander) and related tools. 2+ years of experience in machine learning, with a focus on building, training, and deploying models. Experience integrating machine learning models with enterprise-level platforms, preferably Pega. Strong experience in Python, R, or similar languages for machine learning.
Skills:
Strong problem-solving and analytical skills. Solid understanding of machine learning algorithms such as regression, classification, clustering, and neural networks. Knowledge of data analytics tools, SQL, and databases. Experience with Pega Decisioning, Case Management, and Workflow Automation. Excellent communication and collaboration skills to work with different teams. Equal
Opportunity Employer :
We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.