Data Scientist

2 weeks ago


Alpharetta, United States ESB Technologies Full time

Hi,

Hope you are doing Great.


Role: Senior Data Scientist

Location: Alpharetta,GA(Relocation Works)

Exp : 09+ Years

Job Type: Only W2

No CPT or OPT


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


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