Forsyth Barnes

Senior AI Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior AI Engineer on a contract-to-hire basis in New York, NY. Requires 5+ years in AI/ML systems, strong Python skills, and experience with AWS. Familiarity with MLOps tools and consumer tech industry experience preferred.
🌎 - Country
United States
πŸ’± - Currency
$ USD
-
πŸ’° - Day rate
Unknown
-
πŸ—“οΈ - Date
October 30, 2025
πŸ•’ - Duration
Unknown
-
🏝️ - Location
Hybrid
-
πŸ“„ - Contract
Unknown
-
πŸ”’ - Security
Unknown
-
πŸ“ - Location detailed
New York, United States
-
🧠 - Skills detailed
#Cloud #Python #Statistics #GCP (Google Cloud Platform) #Scala #Databases #TensorFlow #Monitoring #PyTorch #MLflow #DevOps #Data Pipeline #AI (Artificial Intelligence) #Deployment #Azure #Hugging Face #Kubernetes #Deep Learning #AWS (Amazon Web Services) #Data Processing #ML (Machine Learning) #Docker
Role description
Job Title: Senior AI Engineer Location: New York, NY (Hybrid) Industry: Consumer Tech Type: Contract to Hire Applicants must be authorized to work in the United States. Sponsorship is not available. Overview - Senior AI Engineer Great opportunity to a forward-thinking consumer brand that’s embedding AI into everything they do from personalized shopping experiences to dynamic supply chains. They are looking for a Senior AI Engineer who can design, build and deploy next-generation AI solutions that directly impact our millions of customers and drive growth. Responsibilities - Senior AI Engineer: β€’ Build, fine-tune, and deploy ML and deep learning models (recommendation, personalization, vision, generative AI). β€’ Integrate and optimize LLMs and generative pipelines (GPT, LLaMA, Hugging Face). β€’ Design scalable inference and deployment systems with monitoring and versioning. β€’ Develop production-grade Python code using PyTorch, TensorFlow, or Scikit-learn. β€’ Use AWS (and occasionally GCP/Azure) for data processing, training, and model serving. β€’ Collaborate with data and DevOps teams to implement MLOps (CI/CD, Docker, Kubernetes, MLflow). β€’ Apply mathematical and algorithmic principles to design and optimize models. β€’ Work with product and analytics teams to deliver measurable AI solutions. Requirements - Senior AI Engineer: β€’ 5+ years of experience deploying AI/ML systems in production (consumer tech or e-commerce preferred). β€’ Strong Python skills with ML/DL frameworks (PyTorch or TensorFlow). β€’ Hands-on experience with cloud platforms (AWS preferred). β€’ Familiarity with data pipelines, databases, and MLOps tools (Docker, Kubernetes, CI/CD). β€’ Solid grounding in math, statistics, and algorithm design. β€’ Strong communication and collaboration skills.