Technology

Machine Learning Engineer

Tekfortune Inc.Parsippany-Troy Hills, NJ🇺🇸United StatesPosted Oct 12, 2026

Why This Role Stands Out

This hybrid Machine Learning Engineer role offers a fantastic opportunity to develop cutting-edge recommendation systems and directly impact consumer marketing strategies, perfect for experienced engineers passionate about personalization. You'll thrive by leveraging your expertise in deep learning and recommendation algorithms within a dynamic team, so don't miss out on this exciting chance to grow your career.

Quick Overview

Seniority

Mid Senior

Work mode

Hybrid

Location

Parsippany-Troy Hills, NJ, United States

Posted

Yesterday

AWSMachine LearningDatabricksPyTorchPythonTensorFlow

Job Description

Machine Learning Engineer – Recommendation Systems (Consumer Marketing)

Location: Parsippany, NJ - Hybrid

Duration: 12+ Months

Interview process- Video + F2F meeting.

Must haves:

•Recommendation Systems/ Ranking Systems

•Neural networks

•DeepLearning

•GRAPH

•DeepFM

•Matrix factorization

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.