Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Scientist position based in Raleigh, NC, with a contract length of "unknown" and a pay rate of "unknown." Key skills include machine learning, NLP, Python, and experience with LLMs and cloud platforms.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
-
🗓️ - Date discovered
September 23, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
On-site
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Raleigh, NC
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🧠 - Skills detailed
#Deep Learning #BERT #SpaCy #AI (Artificial Intelligence) #NLP (Natural Language Processing) #AWS (Amazon Web Services) #Databases #Distributed Computing #Deployment #Azure #Keras #API (Application Programming Interface) #TensorFlow #Langchain #Spark (Apache Spark) #"ETL (Extract #Transform #Load)" #Scala #ML (Machine Learning) #NoSQL #Code Reviews #Data Modeling #ML Ops (Machine Learning Operations) #Hugging Face #Classification #Python #Libraries #Elasticsearch #Transformers #Cloud #Datasets #Data Science #Clustering #PyTorch #OpenSearch #GCP (Google Cloud Platform)
Role description
Position: Data Scientist
Location: Raleigh, NC
RESPONSIBILITIES
• Develop and implement LLM-based applications tailored for in-house legal
• Fine-tune and deploy large language models to enhance their performance on legal text processing tasks
• Evaluate and help maintain our data assets and training/evaluation data sets
• Design and build pipelines for preprocessing, annotating, and managing legal document datasets
• Collaborate with legal experts to understand requirements and ensure models meet domain-specific needs
• Conduct experiments and evaluate model performance to drive continuous improvements
• Interface with other technical personnel or team members to finalize requirements.
• Work closely with other development team members to understand moderately complex product requirements and translate them into software designs.
• Successfully implement development processes, coding best practices, and code reviews for production environments.
REQUIREMENTS
• Formal training in machine learning: dimensionality reduction, clustering, embeddings, and sequence classification algorithms
• Experience with deep learning frameworks such as PyTorch, Tensorflow and Hugging Face Transformers.
• Practical experience in Natural Language Processing methods and libraries such as spaCy, word2vec, TensorFlow, Keras, PyTorch, Flair, BERT
• Practical experience with large language models, prompt engineering, fine-tuning and benchmarking, using frameworks such as LangChain and LlamaIndex
• Strong Python background
• Knowledge of AWS, GCP, Azure, or other cloud platform
• Understanding of data modeling principles and complex data models.
• Proficiency with relational and NoSQL databases as well as vector stores (e.g., Postgres, Elasticsearch/OpenSearch, ChromaDB)
• Knowledge of Scala, Spark, Ray, or other distributed computing systems highly preferred
• Knowledge of API development, containerization, and machine learning deployment highly preferred
• Experience with ML Ops/AI Ops highly preferred
Regards
Patrick Fernandez
Talent Acquisition Group - Strategic Recruitment Manager
Position: Data Scientist
Location: Raleigh, NC
RESPONSIBILITIES
• Develop and implement LLM-based applications tailored for in-house legal
• Fine-tune and deploy large language models to enhance their performance on legal text processing tasks
• Evaluate and help maintain our data assets and training/evaluation data sets
• Design and build pipelines for preprocessing, annotating, and managing legal document datasets
• Collaborate with legal experts to understand requirements and ensure models meet domain-specific needs
• Conduct experiments and evaluate model performance to drive continuous improvements
• Interface with other technical personnel or team members to finalize requirements.
• Work closely with other development team members to understand moderately complex product requirements and translate them into software designs.
• Successfully implement development processes, coding best practices, and code reviews for production environments.
REQUIREMENTS
• Formal training in machine learning: dimensionality reduction, clustering, embeddings, and sequence classification algorithms
• Experience with deep learning frameworks such as PyTorch, Tensorflow and Hugging Face Transformers.
• Practical experience in Natural Language Processing methods and libraries such as spaCy, word2vec, TensorFlow, Keras, PyTorch, Flair, BERT
• Practical experience with large language models, prompt engineering, fine-tuning and benchmarking, using frameworks such as LangChain and LlamaIndex
• Strong Python background
• Knowledge of AWS, GCP, Azure, or other cloud platform
• Understanding of data modeling principles and complex data models.
• Proficiency with relational and NoSQL databases as well as vector stores (e.g., Postgres, Elasticsearch/OpenSearch, ChromaDB)
• Knowledge of Scala, Spark, Ray, or other distributed computing systems highly preferred
• Knowledge of API development, containerization, and machine learning deployment highly preferred
• Experience with ML Ops/AI Ops highly preferred
Regards
Patrick Fernandez
Talent Acquisition Group - Strategic Recruitment Manager
