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Machine Learning Engineer
Job Location:
Job Location:
Philadelphia, PA - USA
Monthly Salary:
Not provided by the employer
Monthly Salary:
Posted:
15 October 2026 (23 hours ago)
Posted:
Application Deadline:
12 January 2027
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Tekfortune is a fast-growing consulting firm specialized in permanent contract & project-based staffing services for worlds leading organizations in a broad range of 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:
Interview Process:
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:
For more information and other jobs available please contact our recruitment team at . To view all the jobs available in the USA and Asia please visit our website at .
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 . To view all the jobs available in the USA and Asia please visit our website at .
Required Experience:
IC
