Extend Information Systems Inc.
AI/ML Expert
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI/ML Expert in New York/New Jersey on a long-term contract, requiring 12+ years of experience, expertise in Python, C++, or Java, and proficiency in PyTorch and TensorFlow, with a focus on Generative AI, Computer Vision, or NLP.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
February 7, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
New York, NY
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🧠 - Skills detailed
#Data Ingestion #PyTorch #Python #ML (Machine Learning) #Strategy #AI (Artificial Intelligence) #Leadership #TensorFlow #NLP (Natural Language Processing) #Java #C++
Role description
Job Title: AI/Ml Expert
Location: New York/New Jersey
Duration: Long Term Contract
Job Description:
12+ years of experience with a high-level individual contributor or lead researcher responsible for architecting the core intelligence of a product
? Architectural Leadership: Design and lead the development of end-to-end ML systems, from data ingestion to MLOps orchestration and real-time inference.
? State-of-the-Art (SOTA) Implementation: Stay ahead of the curve in Generative AI, Computer Vision, or NLP, adapting the latest research papers into production-ready features.
? Optimization & Scaling: Solve complex bottlenecks related to model latency, cost-efficiency (e.g., quantization, pruning), and large-scale distributed training.
? Technical Mentorship: Review code and model architectures, setting the standard for rigorous testing, evaluation frameworks, and Responsible AI practices.
Cross-Functional Strategy: Partner with Product and Engineering leads to determine the technical feasibility of "moonshot" AI features
1. Languages: Expert-level Python, C++, or Java.
1. Frameworks: PyTorch, TensorFlow, JAX.
Job Title: AI/Ml Expert
Location: New York/New Jersey
Duration: Long Term Contract
Job Description:
12+ years of experience with a high-level individual contributor or lead researcher responsible for architecting the core intelligence of a product
? Architectural Leadership: Design and lead the development of end-to-end ML systems, from data ingestion to MLOps orchestration and real-time inference.
? State-of-the-Art (SOTA) Implementation: Stay ahead of the curve in Generative AI, Computer Vision, or NLP, adapting the latest research papers into production-ready features.
? Optimization & Scaling: Solve complex bottlenecks related to model latency, cost-efficiency (e.g., quantization, pruning), and large-scale distributed training.
? Technical Mentorship: Review code and model architectures, setting the standard for rigorous testing, evaluation frameworks, and Responsible AI practices.
Cross-Functional Strategy: Partner with Product and Engineering leads to determine the technical feasibility of "moonshot" AI features
1. Languages: Expert-level Python, C++, or Java.
1. Frameworks: PyTorch, TensorFlow, JAX.
