Senior Lead Python / Applied ML Engineer | 12+ Years Exp. | Alpharetta, GA (Hybrid) | Contract

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Job Title: Senior Lead Python / Applied ML Engineer

Location: Alpharetta, GA (Hybrid)

Duration: 12 Months

Job Overview

We are seeking a highly experienced Senior Lead Python / Applied ML Engineer to join a cutting-edge team focused on building and enhancing AI-driven Contact Center Insights platforms. This role requires a strong blend of software engineering, applied machine learning, and data science expertise, along with domain knowledge in banking/contact center technologies.

The ideal candidate will design scalable AI solutions leveraging Hybrid RAG (Retrieval-Augmented Generation) and Natural Language Query (NLQ) capabilities to drive actionable business insights.

Key Responsibilities

• Design, develop, and enhance AI-powered insights platforms using Python, Hybrid RAG (semantic + keyword retrieval), and LLM-based workflows
• Extract, categorize, and summarize insights from large-scale enterprise text and knowledge repositories
• Apply data science techniques such as EDA, feature engineering, clustering, classification, topic modeling, and sentiment analysis to improve model accuracy and relevance
• Design experiments, define evaluation metrics, and continuously monitor and improve model/LLM performance
• Build and implement Natural Language Query (NLQ) interfaces for intuitive data interaction
• Develop and integrate REST APIs to connect with upstream/downstream systems and enable automated workflows
• Integrate data sources including Genesys Cloud, Salesforce, and other internal/external APIs
• Create and maintain interactive dashboards (React + backend APIs) to visualize trends, insights, and KPIs
• Ensure production-grade deployment with testing, code reviews, CI/CD pipelines, and operational support
• Collaborate with cross-functional teams in an Agile environment

Required Skills & Experience

• 15+ years of software development experience
• 3 5 years of hands-on experience in AI/ML
• Strong expertise in Python development
• Hands-on experience with Hybrid RAG architectures and NLQ systems
• Proven experience delivering production-grade AI/ML solutions
• Experience with data ingestion and integrations (Genesys Cloud, Salesforce, APIs)
• Strong knowledge of data pipelines, ETL processes, and data modeling
• Experience working with structured and semi-structured data
• Exposure to containerized environments (Kubernetes)
• Familiarity with Agile methodologies and DevOps practices
• Experience with JIRA, Git, and CI/CD tools (Jenkins/TeamCity)
• Strong analytical, problem-solving, and communication skills

Preferred Qualifications

• Experience in Wealth Management or Banking domain
• Prior experience working with Contact Center technologies
• Advanced expertise in RAG-based AI systems and NLQ interfaces

Education

• Bachelor s degree in Computer Science, Engineering, or a related field