AI/ML Engineer: Recommender Systems & Graph Modeling

Apptad Inc; Frisco (TX); On-site; USD 130,000 - 170,000; Full time

Job summary

Apptad Inc in Frisco, TX is seeking a senior ML engineer to design scalable recommender pipelines using Python, Pandas, PySpark, and graph databases. You will develop end-to-end models and contribute to production-ready solutions.

The role emphasizes ML lifecycle, experimentation, and evaluation metrics such as NDCG, MAP and Precision/Recall, with a focus on entity resolution and graph-based data processing to improve recommendations.

Qualifications

• Hands-on Python development with Pandas and PySpark for large datasets.
• Experience building recommender systems including matrix factorization and deep learning.
• Proficiency in entity resolution and record linkage techniques.
• Hands-on graph modeling and graph databases for analytics and retrieval.
• Strong grasp of ML lifecycle, experimentation, and evaluation metrics (NDCG, MAP, Precision/Recall).

Skills

Python with Pandas & PySpark

Recommender systems

Entity resolution / record linkage

Graph modeling

ML lifecycle & evaluation metrics

Job description

Apptad Inc in Frisco, TX is seeking a senior ML engineer to design scalable recommender pipelines using Python, Pandas, PySpark, and graph databases. You will develop end-to-end models and contribute to production-ready solutions.

The role emphasizes ML lifecycle, experimentation, and evaluation metrics such as NDCG, MAP and Precision/Recall, with a focus on entity resolution and graph-based data processing to improve recommendations.