Senior AI/ML Engineer

TekWissen LLC

Atlanta, GA, United States

2 months ago

Role details

Contract type

Temporary contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Compensation

$197,600.0

Working hours

Regular working hours

Job source

careerjet.com

Tech stack

A/B Testing Artificial Intelligence Amazon Web Services Big Data Software as a Service Continuous Integration Graph Database Python (Programming Language) Neo4j Node.Js Recommender Systems Feature Engineering

+11 more

Delivery Pipeline Apache Spark Deep Learning Model Validation Reliability of Systems Backend Pandas Build Management Pyspark Apache Kafka Machine Learning Operations

Job description

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)
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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.

About the company

TekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan that offers strategic talent solutions to our clients world-wide. Our client provider of digital technology and transformation, information technology and services