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# Machine Learning Engineer

- **Company:** TekFortune INC
- **Location:** Philadelphia, PA, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** A/B Testing, Amazon Web Services, Systems Engineering, Artificial Neural Networks, Python (Programming Language), Machine Learning, Marketing Information Systems, Recommender Systems, Tensorflow, Pytorch, Agentic-AI, Databricks
- **Published:** November 4, 2026
- **Apply:** https://www.careerbuilder.com/job-details/machine-learning-engineer-philadelphia-pa--1c88b740-88fc-4964-8056-ca9ff933d96c

## About the Role

Machine Learning, Consulting, Work From Home, Machine Learning, Consumer Marketing, Systems Engineering, Neural Networks, Revenue Growth, Customer/Consumer Behavior, Customer Conversion, * 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., * 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.

## 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.