Quadrant Technologies
AI/ML Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI/ML Engineer with a contract length of "unknown" and a pay rate of "$X/hour." Key skills include Python, ML infrastructure, distributed training, and cloud expertise (preferably GCP). A Master’s in CS/ML or equivalent experience is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
480
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🗓️ - Date
October 9, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
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📍 - Location detailed
Redmond, WA
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🧠 - Skills detailed
#Debugging #Automation #GCP (Google Cloud Platform) #Kubernetes #"ETL (Extract #Transform #Load)" #Consulting #Model Optimization #Code Reviews #AI (Artificial Intelligence) #ML (Machine Learning) #Python #Storage #Cloud
Role description
Join our elite engineering team driving the adoption and performance of advanced AI/ML infrastructure for enterprise customers. In this role, you’ll act as a technical bridge between product teams and clients, ensuring Large Language Model (LLM) and distributed training workloads run at maximum scale, reliability, and performance.
Responsibilities:
• Design, implement, and optimize high-performance ML solutions and reference architectures.
• Write and maintain production-grade Python code for system development, automation, and tooling.
• Profile, debug, and optimize distributed AI/ML workloads (training & inference).
• Collaborate with enterprise ML teams to resolve bottlenecks in compute, networking, and storage.
• Provide technical guidance through design/code reviews and customer engagements.
Qualifications:
• Master’s in CS/ML or related field (or equivalent experience).
• 6+ years software development; strong in Python, data structures, and algorithms.
• Hands-on experience with ML infrastructure, distributed training, and model optimization.
• Cloud expertise (preferably GCP: Compute, Storage, Kubernetes, Networking).
• Proven skills in ML performance tuning and debugging large-scale systems.
Preferred:
• Experience with CUDA/cuDNN, HPC, or kernel-level performance optimization.
• Prior customer-facing engineering or consulting experience.
Quadrant Technologies is a leading IT services and solutions provider specializing in cloud computing, data analytics, AI/ML, and enterprise applications. We empower businesses with innovative technology solutions that drive digital transformation and enhance operational efficiency.
Committed to excellence and customer success, we help organizations optimize IT investments, streamline processes, and achieve strategic goals. Our team of experienced professionals ensures seamless project execution—from implementation to ongoing support.
Join a dynamic, growth-driven company where innovation meets impact. Explore career opportunities with Quadrant Technologies today!
Join our elite engineering team driving the adoption and performance of advanced AI/ML infrastructure for enterprise customers. In this role, you’ll act as a technical bridge between product teams and clients, ensuring Large Language Model (LLM) and distributed training workloads run at maximum scale, reliability, and performance.
Responsibilities:
• Design, implement, and optimize high-performance ML solutions and reference architectures.
• Write and maintain production-grade Python code for system development, automation, and tooling.
• Profile, debug, and optimize distributed AI/ML workloads (training & inference).
• Collaborate with enterprise ML teams to resolve bottlenecks in compute, networking, and storage.
• Provide technical guidance through design/code reviews and customer engagements.
Qualifications:
• Master’s in CS/ML or related field (or equivalent experience).
• 6+ years software development; strong in Python, data structures, and algorithms.
• Hands-on experience with ML infrastructure, distributed training, and model optimization.
• Cloud expertise (preferably GCP: Compute, Storage, Kubernetes, Networking).
• Proven skills in ML performance tuning and debugging large-scale systems.
Preferred:
• Experience with CUDA/cuDNN, HPC, or kernel-level performance optimization.
• Prior customer-facing engineering or consulting experience.
Quadrant Technologies is a leading IT services and solutions provider specializing in cloud computing, data analytics, AI/ML, and enterprise applications. We empower businesses with innovative technology solutions that drive digital transformation and enhance operational efficiency.
Committed to excellence and customer success, we help organizations optimize IT investments, streamline processes, and achieve strategic goals. Our team of experienced professionals ensures seamless project execution—from implementation to ongoing support.
Join a dynamic, growth-driven company where innovation meets impact. Explore career opportunities with Quadrant Technologies today!
