Programmers.io

AI/ML Lead

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI/ML Lead with 10+ years of experience, focusing on Generative AI solutions in a hybrid location (Dallas, TX | Tampa, FL | Jersey City, NJ). Requires strong Python, FastAPI, and cloud expertise (AWS/Azure/GCP).
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
April 3, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Dallas, TX
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🧠 - Skills detailed
#Scala #DevOps #FastAPI #AI (Artificial Intelligence) #GCP (Google Cloud Platform) #ML (Machine Learning) #Azure #Deployment #Docker #Kubernetes #Data Ingestion #AWS (Amazon Web Services) #Python #Base #Cloud
Role description
One of our clients which is having operations globally is looking an AI/ML Lead for hybrid role to Dallas, TX | Tampa, FL | Jersey City, NJ (3 days WFO). Please find the below job description and request you to share me your resume to srinath.k@programmers.ai Role: AI/ML Lead Location: Dallas, TX | Tampa, FL | Jersey City, NJ (3 days WFO) Duration: Full time with all the benefits Experience : 10+ Years Summary: Seeking a Senior Generative AI Developer to build scalable AI solutions using RAG frameworks. Requires strong Python, FastAPI, and cloud expertise (AWS/Azure/GCP), along with experience in system architecture and end-to-end AI development. Key Responsibilities: • Design and develop enterprise-grade Generative AI solutions using RAG • Build scalable system architectures and FastAPI-based APIs • Implement data ingestion, retrieval pipelines, and knowledge base systems • Integrate AI solutions with existing platforms • Optimize performance of AI models and APIs • Ensure secure and efficient cloud deployment • Stay updated on GenAI, LLMs, and RAG advancements Required Skills: • 8+ years in software development and system design • Strong Python and FastAPI expertise • Hands-on experience with GenAI and RAG architectures • Knowledge of distributed system design • Cloud experience (AWS/Azure/GCP) • Familiarity with vector DBs and embeddings Preferred: • LLM fine-tuning, prompt engineering • Docker, Kubernetes • CI/CD and DevOps practices