Sr. Machine Learning Engineer

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

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.

• 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

• 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

• 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