Hybrid ML Engineer — Personalization & Recommendations

PRIMUS Global Services; United States; Hybrid; USD 120,000 - 170,000; Full time

Job summary

PRIMUS Global Services seeks an experienced Machine Learning Engineer to design, develop, and optimize personalized recommendation models. The role emphasizes recommendation systems, collaborative filtering, and large-scale consumer marketing data.

The position is hybrid and based in Parsippany, NJ, requiring 3 days onsite per week. You will leverage Python, TensorFlow, PyTorch, and real-time ML predictions to drive impactful campaigns and user experiences.

Qualifications

• Experience designing and deploying personalized recommendation models.
• Deep expertise in Python, TensorFlow, PyTorch.
• Experience handling large-scale behavioral, transactional, and campaign data.

Responsibilities

• Design and optimize personalized recommendation models.
• Develop scalable ML pipelines for real-time predictions.
• Collaborate with data engineers and product teams.

Skills

Recommendation systems

Python

TensorFlow

PyTorch

Large-scale data

Collaborative filtering

Matrix factorization

Neural networks

Ranking algorithms

Personalization

Real-time predictions

Job description

PRIMUS Global Services seeks an experienced Machine Learning Engineer to design, develop, and optimize personalized recommendation models. The role emphasizes recommendation systems, collaborative filtering, and large-scale consumer marketing data.

The position is hybrid and based in Parsippany, NJ, requiring 3 days onsite per week. You will leverage Python, TensorFlow, PyTorch, and real-time ML predictions to drive impactful campaigns and user experiences.