Compare your current skills to what this opportunity needs—we'll show you what you already have and what could strengthen your application.
Job Description
Role:
Sr . AI /
ML Engineer Location:
Frisco, TX/Atlanta, GA (Hybrid, locals only)
Duration:
12+
Months Mandatory Skills :
Hands-on experience in building and maintaining Knowledge graphs and Recommendation systems knowledge Lead the design and deployment of scalable AI / ML solutions focused on real-time personalization, recommendation systems, and customer knowledge graphs, driving measurable improvements in engagement and conversion.
Responsibilities:
Design and build collaborative, content-based, and hybrid recommendation systems
Develop real-time personalization pipelines and ranking models
Architect end-to-end ML systems (batch + streaming) with low-latency inference
Build customer knowledge graphs (Neo4j/Neptune) modeling users, products, and interactions
Enable Customer 360 insights and context-aware recommendations
Develop scalable pipelines using Python, Spark, Kafka Implement feature engineer ing, model training, and deployment workflows
Drive experimentation (A/B testing) and optimize for CTR, engagement, and conversion Ensure data quality, model performance, and system reliability
Apply ML Ops practices (CI/CD, monitoring, model lifecycle management)
Mentor team members and collaborate with product/business stakeholders
Requirements:
Python and experience with Pandas, PySpark Expertise in recommender systems (matrix factorization, deep learning, ranking models)