Machine Learning Engineer

Job Description

Job Description

Tekfortune is a fast-growing consulting firm specialized in permanent, contract & project-based staffing services for world s leading organizations in a broad range of industries. In this quickly changing economic landscape, virtual recruiting and remote work are critical for the future of work. To support the active project demands and skills gaps, our staffing experts can help you find the best job for you.

Machine Learning Engineer Recommendation Systems (Consumer Marketing)
Location: Parsippany, NJ - Hybrid
Duration: 12 Months

Rate: W2 Acceptable

Must haves:

• Recommendation Systems/ Ranking Systems
• Neural networks
• DeepLearning
• GRAPH
• DeepFM
• Matrix factorization

Interview Process:

• Round#1: Introductory call to assess fit and communication style.
• Round#2: Technical Interview (No coding test)
• Round#3: Final in-person interview with Zaf, Vibhor and I.

Job Description:
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.

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.

For more information and other jobs available please contact our recruitment team at View email address on ziprecruiter.com . To view all the jobs available in the USA and Asia please visit our website at .