STAFFXPERT LLC
STAFFXPERT LLC

Sr. Machine Learning Engineer

Parsippany, NJ, US • Posted 16 hours ago • Updated 2 hours ago
Full Time
On-site
Fitment

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Job Details

Skills

  • AWS
  • Python
  • Machine Learning
  • Databricks
  • PyTorch
  • Deep Learning
  • Tensorflow
  • Recommendation Systems
  • Collaborative Filtering
  • Ranking Systems

Summary

Job Title: Sr. Machine Learning Engineer Recommendation Systems

Location: Parsippany, NJ (Hybrid 3 Days Onsite)
Duration: Long-Term Contract
Interview Mode: Face-to-Face (Mandatory)
Experience: 14+ Years

Job Summary

STAFFXPERT LLC is seeking a Sr. Machine Learning Engineer Recommendation Systems on behalf of our client in Parsippany, NJ. This role is ideal for a seasoned professional with a strong research background and extensive experience in building and scaling personalized recommendation systems. The candidate will play a critical role in designing, developing, and deploying advanced machine learning models that enhance user engagement and drive business outcomes.

Key Responsibilities
  • Design, develop, and optimize recommendation systems using collaborative filtering, content-based, and hybrid approaches
  • Build and maintain scalable machine learning pipelines for both real-time and batch processing
  • Partner with cross-functional teams including Data Science, Engineering, and Product for end-to-end deployment
  • Evaluate model performance using metrics such as precision, recall, and user engagement
  • Implement advanced methodologies including reinforcement learning and graph neural networks
  • Ensure high performance, scalability, and reliability of ML solutions in production
Required Skills and Experience
  • 5+ years of hands-on experience in machine learning with a strong focus on recommendation systems
  • PhD in Computer Science, Machine Learning, Data Science, or a related field (mandatory)
  • Strong programming expertise in Python
  • Proficiency with machine learning frameworks such as TensorFlow and PyTorch
  • Deep understanding of algorithms including matrix factorization, neural networks, clustering, and ranking systems
  • Experience working with cloud platforms and big data tools such as AWS and Databricks
  • Strong analytical, problem-solving, and communication skills
Preferred Qualifications
  • Experience building large-scale, real-time recommendation engines
  • Strong research background with applied machine learning in production environments
  • Experience with A/B testing and experimentation frameworks
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: 91172109
  • Position Id: 2026-1824
  • Posted 16 hours ago
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