Machine Learning Engineer (Consumer Marketing)

Hello

This is Kumar from Tek Leaders Inc hope you are doing great. Please find the below Job Description.

Role: Machine Learning Engineer (Consumer Marketing)

Location: Parsippany NJ (Hybrid Position & final round In-person interview)

Duration: Long Term Contract

Must haves:

• Recommendation Systems/ Ranking Systems
• Neural networks
• Deep Learning
• GRAPH
• DeepFM
• Matrix factorization

Job Description:

Machine Learning Engineer - Recommendation Systems (Consumer Marketing)

We are seeking a skilled Machine Learning Engineer with deep expertise in building and optimizing recommendation systems within the consumer marketing space. The ideal candidate will have hands-on experience designing implementing and scaling personalized recommendation and targeting models that drive customer engagement conversion and revenue growth. Experience translating consumer behavior and marketing data into actionable personalized experiences is essential.

Key Responsibilities:

• Design and develop machine learning models for recommendation and personalization systems (e.g. collaborative filtering deep learning hybrid approaches) tailored to consumer marketing use cases such as product recommendations next-best-action and audience targeting.
• Optimize models for scalability performance and real-time predictions across large-scale consumer datasets.
• Collaborate with business leaders marketing partners product and engineering teams to integrate models into production and campaign pipelines.
• Analyze and improve recommendation quality using metrics like precision recall click-through rate conversion and customer lifetime value.
• Leverage customer segmentation behavioral and first-party marketing data to enhance personalization and relevance.
• Experiment with cutting-edge techniques (e.g. reinforcement learning graph neural networks contextual bandits) to enhance recommendations and marketing outcomes.

Requirements:

• 5 years of experience in machine learning with a focus on recommendation systems ideally within consumer marketing retail e-commerce or a related consumer-facing domain.
• Proven track record building personalization or recommendation models that measurably improved engagement or marketing performance.
• Proficiency in Python TensorFlow PyTorch or similar ML frameworks.
• Strong understanding of algorithms like matrix factorization neural networks and ranking systems.
• Strong understanding of LTMs and agentic AI frameworks that can be customized for recommender systems
• Experience working with consumer/marketing data including behavioral transactional and campaign data (familiarity with CDPs marketing analytics or A/B testing is a plus).
• Experience with Databricks and AWS.
• Excellent problem-solving skills and a passion for delivering impactful customer-centric solutions.

Thanks & Regards

Kumar K

IT Recruiter

Desk:1 Ext:165

Email:

LinkedIn: