Infotree Global Solutions
ONLY W2 :: Applied ML Scientist (GenAI, LLM) :: Remote Role
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Applied ML Scientist (GenAI, LLM) on a W2 contract, remote, requiring expertise in machine learning, GenAI, LLM, and NLP/NLU evaluation. Proficiency in Python, PyTorch, TensorFlow, and MLOps standards is essential.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
October 23, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Python #TensorFlow #Kubernetes #NLU (Natural Language Understanding) #NLP (Natural Language Processing) #AI (Artificial Intelligence) #PyTorch #ML (Machine Learning)
Role description
Minimum Qualifications:
• Strong foundation in machine learning fundamentals with the ability to tackle complex ML challenges.
• Experience or proven interest in designing and implementing AI-driven approaches to evaluation (e.g., LLM-as-a-judge, automated evaluation, etc).
• Demonstrated ability to develop high-impact language model systems for real-world applications.
• Expertise in GenAI, LLM, and/or NLP/NLU evaluation.
• Demonstrated ability to identify research directions, rapidly prototype solutions, and drive them to practical impact.
• Proficient in software engineering best practices (e.g., modular software design, testing).
• Strong proficiency in Python.
• Strong proficiency PyTorch, TensorFlow, or Jax.
• Experience with MLOps standards, including containerization, orchestration (e.g., Kubernetes), and CI/CD.
• Excellent communication skills with a proven ability to engage diverse stakeholders.
Minimum Qualifications:
• Strong foundation in machine learning fundamentals with the ability to tackle complex ML challenges.
• Experience or proven interest in designing and implementing AI-driven approaches to evaluation (e.g., LLM-as-a-judge, automated evaluation, etc).
• Demonstrated ability to develop high-impact language model systems for real-world applications.
• Expertise in GenAI, LLM, and/or NLP/NLU evaluation.
• Demonstrated ability to identify research directions, rapidly prototype solutions, and drive them to practical impact.
• Proficient in software engineering best practices (e.g., modular software design, testing).
• Strong proficiency in Python.
• Strong proficiency PyTorch, TensorFlow, or Jax.
• Experience with MLOps standards, including containerization, orchestration (e.g., Kubernetes), and CI/CD.
• Excellent communication skills with a proven ability to engage diverse stakeholders.
