Sr. Machine Learning Engg - Recommendation SystemIris Software Inc. • United States
Sr. Machine Learning Engg - Recommendation System
Iris Software Inc.
- United States
- United States
À propos
Parsippany, NJ
Long Term Contract Hybrid - 3 Days Onsite every week.
Interview Process - F2F is a must.
Key Responsibilities
Design and develop machine learning models for recommendation systems (e.g., collaborative filtering, content based filtering, deep learning, hybrid approaches).
Optimize models for scalability, performance, and real-time predictions.
Collaborate with data scientists, engineers, and product teams to integrate models into production pipelines.
Analyze and improve recommendation quality using metrics like precision, recall, and user satisfaction.
Experiment with cutting‑edge techniques (e.g., reinforcement learning, graph neural networks) to enhance recommendations.
Requirements
5+ years of experience in machine learning, with a focus on recommendation systems.
Proficiency in Python, TensorFlow, PyTorch, or similar ML frameworks.
Strong understanding of algorithms like matrix factorization, neural networks, clustering, metadata, and ranking systems.
Experience with Databricks and AWS.
Excellent problem‑solving skills and a passion for delivering impactful solutions.
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Compétences linguistiques
- English
Avis aux utilisateurs
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