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Collabera

Data Scientist (GenAI LLM)

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  • US
    New Jersey, United States
Manifester de l'intérêt pour ce poste
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  • +3
  • US
    New Jersey, United States

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Description

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Data Scientist (GenAI LLM)

Contract: Middletown, New Jersey, US

Salary Range: 90.00 - 95.00 | Per Hour

Job Code: 358072

End Date: 2025-02-26 Days Left: 2 days, 2 hours left

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One of our Direct Client looking for

Senior Data Scientist (GenAI & LLM)

JOB DETAILS

Title: Senior Data Scientist (GenAI & LLM) Location: 100% Remote / hybrid in Middletown, NJ Duration : 12 months Pay Range : 90-95/hr

Please email me at naresh.maradapu@collabera.com to speak in detail about the job.

Top Skills :

Data Scientist, GenAI, LLM, Python, data pipelines, Llama , OpenAI, Azure, Databricks, Grafana. Job Summary:

Mission: In this role, you'll be part of the Enterprise Architecture and Planning team within Client's Network and Security department. You will help centralize enterprise data and develop pipelines and custom LLM models aimed at building an advanced Enterprise system using proprietary internal data. Your primary responsibility will be to design, train, and validate LLM models that drive dynamic dashboards, issue identification, ROI analysis, and data insights for the business. Must Have Qualifications:

2 years of experience in GenAI/ LLM Extremely strong core LLM knowledge (not looking for tool knowledge) Proven hands-on experience building out GenAI and LLMs Expertise in Python, data pipelines, and model training Ability to develop AI solutions from scratch for proprietary data Excellent communication skills, both written and verbal Day-To-Day:

Lead the design and development of custom LLMs for Client's enterprise data Work closely with internal teams to ensure proper training of models on Client's proprietary data Customize models like Llama and OpenAI to meet the specific needs of Client's enterprise data Build dynamic dashboards and data-driven insights for internal stakeholders Integrate the medallion approach (bronze, silver, gold) for data categorization and validation Leverage Azure and ADLS in building and refining AI models and pipelines Continuously improve models through training, testing, and validation Plusses:

Experience working with Azure, Databricks, Grafana Previous work experience at large tech companies. Job Requirement

Data Scientist GenAI LLM Python data pipelines Llama OpenAI Azure Databricks Grafana. Reach Out to a Recruiter Recruiter Email Phone Naresh Maradapu naresh.maradapu@collabera.com

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Compétences idéales

  • Python
  • Azure
  • Grafana
  • New Jersey, United States

Expérience professionnelle

  • Data Scientist
  • Machine Learning
  • Data Engineer

Compétences linguistiques

  • English