Machine Learning Engineer
Swift Hire LLC
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
Required Qualifications
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.
Vacancy posted 3 days ago
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