Programmers.io

AI/ML Lead

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI/ML Lead with a contract duration, requiring 10+ years of experience in software development. The position is based in Dallas, TX, Tampa, FL, or Jersey City, NJ (3 days WFO), focusing on Generative AI and cloud deployment.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
April 28, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Jersey City, NJ
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🧠 - Skills detailed
#Cloud #Databases #AI (Artificial Intelligence) #Docker #ML (Machine Learning) #GCP (Google Cloud Platform) #Data Ingestion #Azure #Kubernetes #Python #AWS (Amazon Web Services) #FastAPI #Scala
Role description
One of our clients which is having operations globally is looking a Senior Generative AI Developer, Dallas, TX I Tampa, FL I Jersy City, NJ ( 3 days WFO). Please find the below job description and request you to share me your resume to srinath.k@programmers.ai Title: AI/ML Lead Location - Dallas, TX I Tampa, FL I Jersy City, NJ ( 3 days WFO) Duration: Contract Experience: 10+ years only We are looking for AI/ML Lead to build scalable AI solutions using RAG (Retrieval-Augmented Generation). The role involves designing system architectures, developing APIs, and deploying AI applications on cloud platforms. Key Responsibilities: • Develop Generative AI applications using RAG frameworks • Design scalable, secure system architectures • Build and optimize APIs using FastAPI • Integrate AI solutions with existing systems • Implement data ingestion and retrieval pipelines • Deploy and optimize solutions on AWS, Azure, or GCP • Monitor performance and stay updated on AI advancements Required Skills: • 10+ years in software development and system design • Strong Python and FastAPI experience • Hands-on with Generative AI, RAG, and LLMs • Knowledge of distributed systems and cloud platforms • Experience with vector databases and retrieval pipelines Preferred: • LLM fine-tuning and prompt engineering • Docker, Kubernetes, and CI/CD knowledge