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Senior Data Engineer – Python GenAI W2 position


Job Location:

Tampa, FL - USA

Monthly Salary: Not provided by the employer
Posted: 20 August 2026 (22 hours ago)
Application Deadline: 17 November 2026
Vacancies: 1 Vacancy

Job Summary

Responsibilities

As a Data Scientist Lead you will be involved in:

  • Develop plans and coordinate with teams for all analytical efforts. 
  • Manage deliverables in an agile environment and maintain clear communication with all model stakeholders. 
  • Present status issues and analytical findings to various audience groups like business technology management risk review model governance etc. 
  • Data modelling and cleaning from internal and external sources. 
  • Build predictive and prescriptive models by manipulating and cleaning results. 
  • Develop manage and deploy analytical solutions using Machine Learning (ML) Deep Learning (DL) and Large Language Models (LLMs) to production systems using technology SDLC process. 
  • Implement features through the ML lifecycle (Development Testing Training Production Monitoring/Evaluation) to ensure scalability and reliability. 

Qualifications

  • PhD or masters degree in computer science Data Science Statistics Mathematics Engineering or related field. 
  • 5 years of industry experience as a data scientist specializing in ML Modeling Ranking Recommendations or Personalization systems. 
  • 5 years of experience designing and developing scalable and reliable machine learning systems for training inference monitoring and iteration. 
  • Strong background of ML/DL/LLM algorithms model architectures and training techniques. 
  • Proficiency in Python SQL Spark PySpark TensorFlow or other analytical/model-building programming languages. 
  • Proficiency with tools and LLMs. 
  • Ability to work independently and collaboratively within a team. 

Regards

Mohammed ilyas

PH - or text - or you can share the updated resume at com


Additional Information :

All your information will be kept confidential according to EEO guidelines.


Remote Work :

No


Employment Type :

Full-time


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