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Machine Learning Engineer

  • Machine Learning Engineer job type Posted on: Oct 12, 2026
  • Machine Learning Engineer experience level Swift Hire LLC
  • Machine Learning Engineer employment type Morristown, New Jersey
  • Machine Learning Engineer employment type Onsite
  • Machine Learning Engineer salary CTC

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Job Title :

Machine Learning Engineer

Job Type :

Contract

Job Location :

Morristown New Jersey United States

Remote :

No

Jobcon Logo Job Description :

Title: Machine Learning Engineer (hybrid onsite 3x week in Morristown, NJ)
Duration: Long term contract position
Location: Morristown, NJ (Hybrid 3 days/week)


Key Responsibilities
  • Develop and deploy recommendation, ranking, targeting, and personalization models using techniques such as collaborative filtering, embeddings, neural networks, and learning-to-rank.
  • Process large-scale datasets and support batch and real-time model inference.
  • Partner with engineering, product, analytics, and business teams to integrate ML solutions into production applications and data pipelines.
  • Establish model evaluation frameworks, conduct A/B testing, and optimize performance using technical metrics and business KPIs.
  • Explore advanced approaches, including contextual bandits, reinforcement learning, LLMs, and agentic AI, for potential personalization applications.

Required Qualifications
  • 5+ years of professional experience in machine learning, data science, or ML engineering, including meaningful recommendation or personalization experience, within e-commerce, retail, digital media, consumer technology, marketing technology, or another high-volume consumer environment.
  • Experience with customer segmentation, audience targeting, marketing analytics, or customer data platforms.
  • Proven experience building and operating production recommendation, ranking, targeting, or next-best-action models.
  • Strong Python skills and experience with PyTorch, TensorFlow, or comparable ML frameworks.
  • Strong understanding of recommendation algorithms, embeddings, ranking models, and large-scale behavioral or transactional data.
  • Experience deploying ML workloads in cloud environments, with hands-on AWS and Databricks experience.
  • Familiarity with modern LLM architectures and agentic AI frameworks.
  • Previous experience building recommender systems within the Marketing and/or Retail industries.

Jobcon Logo Position Details

Posted:

Oct 12, 2026

Reference Number:

265-48080

Employment:

CTC

City:

Morristown

Job Origin:

CIEPAL_ORGANIC_FEED

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Title: Machine Learning Engineer (hybrid onsite 3x week in Morristown, NJ)
Duration: Long term contract position
Location: Morristown, NJ (Hybrid 3 days/week)


Key Responsibilities

  • Develop and deploy recommendation, ranking, targeting, and personalization models using techniques such as collaborative filtering, embeddings, neural networks, and learning-to-rank.
  • Process large-scale datasets and support batch and real-time model inference.
  • Partner with engineering, product, analytics, and business teams to integrate ML solutions into production applications and data pipelines.
  • Establish model evaluation frameworks, conduct A/B testing, and optimize performance using technical metrics and business KPIs.
  • Explore advanced approaches, including contextual bandits, reinforcement learning, LLMs, and agentic AI, for potential personalization applications.

Required Qualifications
  • 5+ years of professional experience in machine learning, data science, or ML engineering, including meaningful recommendation or personalization experience, within e-commerce, retail, digital media, consumer technology, marketing technology, or another high-volume consumer environment.
  • Experience with customer segmentation, audience targeting, marketing analytics, or customer data platforms.
  • Proven experience building and operating production recommendation, ranking, targeting, or next-best-action models.
  • Strong Python skills and experience with PyTorch, TensorFlow, or comparable ML frameworks.
  • Strong understanding of recommendation algorithms, embeddings, ranking models, and large-scale behavioral or transactional data.
  • Experience deploying ML workloads in cloud environments, with hands-on AWS and Databricks experience.
  • Familiarity with modern LLM architectures and agentic AI frameworks.
  • Previous experience building recommender systems within the Marketing and/or Retail industries.

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