Sr. AI Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr. AI Engineer, offering a 6-12 month remote contract with a pay rate of $55.00 - $60.00 per hour. Key skills include medical NLP, reinforcement learning, and proficiency in Python and ML frameworks.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
480
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🗓️ - Date discovered
September 4, 2025
🕒 - Project duration
More than 6 months
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🏝️ - Location type
Remote
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Remote
-
🧠 - Skills detailed
#Computer Science #"ETL (Extract #Transform #Load)" #AI (Artificial Intelligence) #ML (Machine Learning) #Knowledge Graph #PyTorch #Reinforcement Learning #Databases #Python #NLP (Natural Language Processing) #Datasets #Compliance #Data Science #Model Evaluation
Role description
Role: Sr. AI Engineer
Location: Remote
Duration: 6 – 12 months
Job Description:
Role Overview:
A highly skilled Generative AI / Large Language Model Specialist with expertise in domain-specific dataset preparation, advanced fine-tuning, and multi-step agentic system design. The ideal candidate will have hands-on experience working with medical data, along with a strong background in reinforcement learning, reward modelling, and embedding optimization.
Key Responsibilities:
Domain-Specific Dataset Preparation – Curate, preprocess, and structure medical chart datasets, including comprehensive patient records (medical history, diagnoses, treatments, test results) while adhering to compliance and privacy requirements.
Tokenization for Specialized Data – Apply and optimize tokenization strategies tailored to domain-specific language, ensuring high model efficiency and accuracy.
Advanced LLM Fine-Tuning – Perform parameter-efficient and full fine-tuning of LLMs, incorporating reinforcement learning with human feedback (RLHF) and reward modelling techniques.
Model Evaluation & Benchmarking – Define and implement fine-tuned evaluation metrics, benchmark models, and analyse system performance to ensure reliability and accuracy.
Agentic Architecture Design – Architect and implement multi-step, reasoning-capable AI agents, leveraging embedding tuning for optimal task execution.
Qualifications:
Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or related field
Proven track record in medical NLP or domain-specific LLM projects.
Strong understanding of transformer architectures, embedding models, and prompt engineering.
Proficiency in Python and ML frameworks (e.g., PyTorch, Cuda).
Familiarity with RLHF, reward modelling, and evaluation frameworks.
Nice to Have:
Prior work in multi-agent AI systems.
Experience with embedding Optimization vector databases and knowledge graphs.
Contributions to open-source LLM projects.
Regards
Krishna
Job Type: Contract
Pay: $55.00 - $60.00 per hour
Work Location: Remote
Role: Sr. AI Engineer
Location: Remote
Duration: 6 – 12 months
Job Description:
Role Overview:
A highly skilled Generative AI / Large Language Model Specialist with expertise in domain-specific dataset preparation, advanced fine-tuning, and multi-step agentic system design. The ideal candidate will have hands-on experience working with medical data, along with a strong background in reinforcement learning, reward modelling, and embedding optimization.
Key Responsibilities:
Domain-Specific Dataset Preparation – Curate, preprocess, and structure medical chart datasets, including comprehensive patient records (medical history, diagnoses, treatments, test results) while adhering to compliance and privacy requirements.
Tokenization for Specialized Data – Apply and optimize tokenization strategies tailored to domain-specific language, ensuring high model efficiency and accuracy.
Advanced LLM Fine-Tuning – Perform parameter-efficient and full fine-tuning of LLMs, incorporating reinforcement learning with human feedback (RLHF) and reward modelling techniques.
Model Evaluation & Benchmarking – Define and implement fine-tuned evaluation metrics, benchmark models, and analyse system performance to ensure reliability and accuracy.
Agentic Architecture Design – Architect and implement multi-step, reasoning-capable AI agents, leveraging embedding tuning for optimal task execution.
Qualifications:
Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or related field
Proven track record in medical NLP or domain-specific LLM projects.
Strong understanding of transformer architectures, embedding models, and prompt engineering.
Proficiency in Python and ML frameworks (e.g., PyTorch, Cuda).
Familiarity with RLHF, reward modelling, and evaluation frameworks.
Nice to Have:
Prior work in multi-agent AI systems.
Experience with embedding Optimization vector databases and knowledge graphs.
Contributions to open-source LLM projects.
Regards
Krishna
Job Type: Contract
Pay: $55.00 - $60.00 per hour
Work Location: Remote
