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Ai Ml Data Scientist

  • ... Posted on: Nov 11, 2025
  • ... Lorven technologies
  • ... Raleigh, North Carolina
  • ... Salary: Not Available
  • ... CTC

Ai Ml Data Scientist   

Job Title :

Ai Ml Data Scientist

Job Type :

CTC

Job Location :

Raleigh North Carolina United States

Remote :

No

Jobcon Logo Job Description :

Job Title : AI/ML Data Scientist

Location : Raleigh, NC (Hybrid)

Duration : Contract

Job Description:

  • Bachelor's degree in Computer Science Engineering or related field or equivalent experience
  • Strong hands-on experience and foundations in machine learning, including 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 platforms.
  • Good 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).
  • Strong Knowledge of Scala, Spark, Ray, or other distributed computing systems is highly preferred.
  • Good Knowledge of API development, containerization, and machine learning deployment is highly preferred.
  • Experience with ML Ops/AI Ops is highly preferred.

Jobcon Logo Position Details

Posted:

Nov 11, 2025

Employment:

CTC

Salary:

Not Available

Snaprecruit ID:

SD-CIE-62a727fb720c648080ebdd50ce72bb6480ee066639dc14e51ef59182ebc4d1d9

City:

Raleigh

Job Origin:

CIEPAL_ORGANIC_FEED

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Job Title : AI/ML Data Scientist

Location : Raleigh, NC (Hybrid)

Duration : Contract

Job Description:

  • Bachelor's degree in Computer Science Engineering or related field or equivalent experience
  • Strong hands-on experience and foundations in machine learning, including 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 platforms.
  • Good 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).
  • Strong Knowledge of Scala, Spark, Ray, or other distributed computing systems is highly preferred.
  • Good Knowledge of API development, containerization, and machine learning deployment is highly preferred.
  • Experience with ML Ops/AI Ops is highly preferred.

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