Python Developer :: Onsite :: W2 Position

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Trebecon LLC, is seeking the following. Apply via Dice today!Role: Python Developer (AI/ML Focus) – Checkout SystemsLocation: Mclean, VA(Onsite)OverviewWe’re looking for a Python Developer with hands-on exposure to AI/ML to support high-impact checkout initiatives within a digital commerce environment. This role focuses on building intelligent backend services that improve checkout performance, enable real-time decisioning, and enhance customer experience through automation and predictive analytics.What You’ll DoDesign and develop scalable Python-based microservices powering checkout workflowsBuild intelligent systems for:Checkout optimization and performance improvementFailure prediction and automated retry handlingTransaction anomaly and fraud detectionIntegrate AI/ML-driven insights into cart, payment, and order processing systemsDevelop and expose APIs for real-time model inference and decision-makingCollaborate with backend teams (Java and others) for seamless end-to-end integrationAnalyze large datasets to identify drop-offs and improve conversion ratesEnsure high system reliability, performance, and scalabilityTroubleshoot production issues, perform RCA, and drive continuous improvementsRequired SkillsStrong programming experience in Python (3.x)Experience building RESTful APIs using Flask, FastAPI, or DjangoSolid understanding of microservices architectureExposure to AI/ML concepts and model integrationHands-on experience with data libraries such as Pandas and NumPyFamiliarity with ML frameworks like scikit-learn, TensorFlow, or PyTorchExperience working with large datasets and data processing pipelinesKnowledge of SQL and/or NoSQL databasesStrong debugging, problem-solving, and analytical skillsNice to HaveExperience in e-commerce or telecom checkout systemsExposure to LLMs / Generative AI use casesUnderstanding of MLOps and model deployment pipelinesExperience with Kafka or real-time streaming systemsFamiliarity with cloud platforms (AWS, Azure, or Google Cloud Platform)Knowledge of A/B testing and experimentation frameworks