Sr. Machine Learning Engg - Recommendation System

Our Client which is a large payroll firm is urgently looking to hire a Sr.

Machine Learning Engineer - Recommendation Systems.

Sr.

Machine Learning Engineer - Recommendation Systems Location: Parsippany, NJ Long Term Contract Hybrid - 3 Days Onsite every week.

Interview Process - F2F is a must.

Need a skilled Machine Learning Engineer 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.

Key Responsibilities:Design and develop machine learning models for recommendation systems (e.g., collaborative filtering, Contact 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 AWSExcellent problem-solving skills and a passion for delivering impactful solutions.