Lead Python / Applied ML Engineer
A.I. Driven, Inc.
Alpharetta, United States of America
1 month ago
Role details
Contract type
Temporary contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
SeniorJob location
Alpharetta, United States of America
Tech stack
API
Agile Methodologies
Artificial Intelligence
JIRA
Cloud Computing
Code Review
Customer Interaction Management (Software)
ETL
DevOps
Python
Salesforce
Sentiment Analysis
Software Engineering
Systems Integration
Feature Engineering
Data Ingestion
Genesys
React
Delivery Pipeline
Large Language Models
Topic Modeling
Backend
GIT
Semi-structured Data
Kubernetes
Information Technology
TeamCity
REST
Data Pipelines
Jenkins
Job description
- 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
Requirements
- 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, * Experience in Wealth Management or Banking domain
- Prior experience working with Contact Center technologies
- Advanced expertise in RAG-based AI systems and NLQ interfaces, * Bachelor s degree in Computer Science, Engineering, or a related field
