

Forsyth Barnes
Senior AI Engineer
β - 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.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
-
ποΈ - Date
October 30, 2025
π - Duration
Unknown
-
ποΈ - Location
Hybrid
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
New York, United States
-
π§ - 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 thatβs 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.
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 thatβs 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.





