Voto Consulting LLC
Applied Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Applied Scientist on a 12-month remote contract, requiring 8-12 years of experience in generative AI, ML, and RAG systems. Strong programming skills in Python, C++, or Java, and expertise in ML frameworks and Azure are essential.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
October 7, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
Remote
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📄 - Contract
Fixed Term
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#TensorFlow #Azure #NLP (Natural Language Processing) #ML (Machine Learning) #Cloud #Java #Statistics #Programming #Python #PyTorch #Computer Science #Distributed Computing #Azure cloud #C++
Role description
Here are the job details:
Role: Applied Scientist
Location: Remote
Employment: Contract (12 Month)
Job Description:
• 8-12+ years of working experience as Applied Scientist, with at least 2-4 years in generative AL, ML & RAG systems.
• Master's, or Ph.D. in Computer Science, Electrical Engineering, Statistics, or related field.
• Strong programming skills in Python, C++, Java, or similar languages.
• Experience with ML frameworks such as PyTorch. TensorFlow, Scikit-learn.
• Experience with Large Language Models (LLMs), NLP, and recommendation systems.
• Proven track record of shipping ML models to production.
• Experience in training and deploying generative Al models, optimizing models for efficiency, and managing large-scale infrastructure.
• Experience with Azure cloud services
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration abilities across teams.
• Publications in top-tier conferences (e.g., NeudPS, ICML, ACL).
• Experience with high-scale systems and distributed computing.
Exposure to agentic technologies and generative Al frameworks
Here are the job details:
Role: Applied Scientist
Location: Remote
Employment: Contract (12 Month)
Job Description:
• 8-12+ years of working experience as Applied Scientist, with at least 2-4 years in generative AL, ML & RAG systems.
• Master's, or Ph.D. in Computer Science, Electrical Engineering, Statistics, or related field.
• Strong programming skills in Python, C++, Java, or similar languages.
• Experience with ML frameworks such as PyTorch. TensorFlow, Scikit-learn.
• Experience with Large Language Models (LLMs), NLP, and recommendation systems.
• Proven track record of shipping ML models to production.
• Experience in training and deploying generative Al models, optimizing models for efficiency, and managing large-scale infrastructure.
• Experience with Azure cloud services
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration abilities across teams.
• Publications in top-tier conferences (e.g., NeudPS, ICML, ACL).
• Experience with high-scale systems and distributed computing.
Exposure to agentic technologies and generative Al frameworks
