ML Engineer/Data Scientist

Parsippany-Troy Hills, NJ, US • Posted 1 hour ago • Updated 1 hour ago

Contract Corp To Corp

Contract W2

Contract Independent

On-site

Depends on Experience

Fitment

Dice Job Match Score™

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Job Details

Skills

MACHINE LEARNING
PYTHON
RECOMMENDATION ENGINE
RECOMMENDATION SYSTEM
COLLABORATIVE FILTER
COLLABORATIVE FILTERING
CONTENT-BASED
CONTENT BASED
CONTENT FILTER
CONTENT FILTERING
HYBRID SYSTEM
HYBRID-SYSTEM
USER-BASED
USER BASED
ITEM BASED
ITEM-BASED

Summary

We are looking for a Machine Learning Engineer/Data Scientist with expertise in building and optimizing recommendation models to join our dynamic team. The ideal candidate will have hands-on experience designing, implementing, and scaling personalized recommendation systems that drive user engagement and business growth.

Responsibilities:

Design and develop machine learning models for recommendation systems (e.g., collaborative 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, and ranking systems.
Experience with DataBricks and AWS.

Required Skills:

Excellent problem-solving skills.
A passion for delivering impactful solutions.

Preferred Skills:

Experience with reinforcement learning and graph neural networks.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91132164
Position Id: 26-00099
Posted 1 hour ago

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