W2 Only//Fulltime-Role for Python Developer (Banking & AI) 8+ Years Exp.

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Python Developer with 8+ years of banking and AI/ML experience, located in "Florham Park, NJ / Charlotte, NC / Dallas, TX / Tampa, FL". Pay rate is W2 only, with a contract duration exceeding 6 months.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
May 17, 2025
🕒 - Project duration
More than 6 months
🏝️ - Location type
Unknown
📄 - Contract type
Fixed Term
🔒 - Security clearance
Unknown
📍 - Location detailed
Irving, TX
🧠 - Skills detailed
#ML (Machine Learning) #Leadership #AI (Artificial Intelligence) #Azure #Cloud #Data Pipeline #REST (Representational State Transfer) #PyTorch #REST API #Automation #GCP (Google Cloud Platform) #"ETL (Extract #Transform #Load)" #Docker #NoSQL #Scala #TensorFlow #Compliance #Python #SQL (Structured Query Language) #AWS (Amazon Web Services)
Role description
Job Title: Senior Python Developer Location: Florham Park, NJ / Charlotte, NC / Dallas, TX / Tampa, FL Employment Type: Full-Time Client: PwC Note: This role is available only on W2 basis. Highly skilled Senior Python Developer with 8+ years of experience in banking systems and AI/ML solutions. Responsible for building intelligent, scalable applications that support financial operations, risk management, and digital transformation. Key Responsibilities: • Lead development of Python-based applications for financial analytics, automation, and risk systems. • Design and integrate AI/ML models for fraud detection, credit scoring, and process optimization. • Collaborate with business and compliance teams to deliver secure, regulatory-compliant solutions. • Develop APIs, data pipelines, and MLOps workflows using cloud and container technologies. • Mentor junior developers and contribute to system architecture and best practices. Requirements: • 8+ years of Python development, with strong exposure to banking/finance projects. • Experience deploying ML models (scikit-learn, TensorFlow, PyTorch) in production. • Deep understanding of financial products, KYC/AML, risk, or trading systems. • Hands-on with SQL/NoSQL, REST APIs, Docker, CI/CD, and AWS/GCP/Azure. • Strong communication, leadership, and problem-solving skills.