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 engineering, 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 MLOps 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)
· Experience in entity resolution / record linkage
· Hands-on with graph modeling & graph databases (Neo4j, RDF, graph embeddings)
· Strong understanding of ML lifecycle, experimentation, and evaluation metrics (NDCG, MAP, Precision/Recall)
Nice to Have :
· Experience with real-time ML systems and large-scale data (TB/PB)
· Impact Drive personalized customer experiences, improve engagement & conversion, and enable data-driven decision-making at scale.
Thanks
Mayank Verma
Senior Technical Recruiter | Empower Professionals
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