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Data Scientist; LLM Fine tuning

Job in Indianapolis, Hamilton County, Indiana, 46262, USA
Listing for: Arrise Solutions India
Full Time position
Listed on 2026-10-02
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Scientist
Salary/Wage Range or Industry Benchmark: 120000 - 180000 USD Yearly USD 120000.00 180000.00 YEAR
Job Description & How to Apply Below
Position: Data Scientist (LLM With Fine tuning)
Location: Indianapolis

Urgently required for Data Scientist (LLM With Fine tuning) for Remote opportunity.

KEY RESPONSIBILITIES
  • Design, develop and implement advanced algorithms using image, text, audio data as well as tabular data.
  • Design large-scale AI/ML systems end-to- end in a very fast-paced environment.
  • Integrate AI/ML systems into existing data pipelines and systems.
  • Extensive knowledge of key metrics and terms for statistical analysis and machine learning.
  • Collaborate with cross-functional teams across data and engineering to come up with solutions to complex problem statements
  • Act as a subject matter expert on data science topics, providing guidance and support to internal teams.
  • Identify areas of improvement in existing solutions.
KEY SKILLS
  • Strong experience in statistical analysis, Machine Learning and Deep Learning Techniques, particularly those related to computer version and natural language processing (NLP).
  • Proven track record of deploying scalable machine learning models in real-world applications.
  • Strong problem-solving skills and the ability to translate business requirements into analytical solutions.
  • Prior experience in handling very large transactional datasets across different business functions.
  • A self-starter and self-motivated individual who can work independently with other teams.
  • Outstanding verbal and written communication skills.
  • Passion to stay updated with the latest advancements in AI, deep learning, generative AI and related system design areas.
  • Lead research initiatives to explore new methodologies, tools, and technologies.
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