Sr Data Engineer - Gen AI/ML - Tampa

Reposted 11 Days Ago
2 Locations
In-Office or Remote
42K-148K Annually
Senior level
Agency • Information Technology
The Role
Design, develop, fine-tune, and deploy generative AI models using deep learning and transformer architectures. Collaborate cross-functionally, troubleshoot model issues, optimize performance, document work, and communicate technical concepts to non-technical stakeholders.
Summary Generated by Built In

Key Responsibilities: 

Model Development: Design and develop algorithms for generative models using deep learning techniques. 

Collaboration: Work with cross-functional teams to integrate generative AI solutions into existing systems. 

Research: Stay updated on the latest advancements in generative AI technologies and methodologies. 

Optimization: Fine-tune models for performance and efficiency. 

Troubleshooting: Address and resolve issues related to generative AI models and implementations. 

Documentation: Create and maintain comprehensive documentation for AI models and their applications. 

Communication: Explain complex technical concepts to non-technical stakeholders. 

Required Skills and Qualifications: 

6+ years of strong background in machine learning and deep learning algorithms. 

Proficiency in programming languages such as Python, with experience in frameworks like TensorFlow and PyTorch. 

Familiarity with natural language processing (NLP) techniques and transformer models (e.g., GPT, BERT) 

Hands on experience with prompt structures and fine-tune model outputs to align with business needs and user expectations. 

Experience with generative AI techniques, including Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs). 

Skills in data preprocessing and feature engineering for AI model training. 

Strong understanding of neural network architectures and optimization techniques. 

Experience in deploying AI models into production environments. 

Ability to stay updated with the latest advancements in generative AI research and incorporate them into work. 


Compensation, Benefits and Duration

Minimum Compensation: USD 42,000
Maximum Compensation: USD 148,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
This position is not available for independent contractors
No applications will be considered if received more than 120 days after the date of this post

Skills Required

  • 6+ years of experience in machine learning and deep learning algorithms.
  • Proficiency in Python.
  • Experience with TensorFlow.
  • Experience with PyTorch.
  • Familiarity with NLP techniques and transformer models (e.g., GPT, BERT).
  • Hands-on experience with prompt structures and fine-tuning model outputs.
  • Experience with generative AI techniques, including GANs and VAEs.
  • Skills in data preprocessing and feature engineering for AI model training.
  • Strong understanding of neural network architectures and optimization techniques.
  • Experience deploying AI models into production environments.
  • Ability to stay updated with latest generative AI research and incorporate advancements.
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The Company
HQ: London
5,017 Employees
Year Founded: 2007

What We Do

Photon.com has emerged as one of the world’s largest and fastest-growing Digital Agencies. We work with 40% of the Fortune 100 on their Digital initiatives and are known for our ability to integrate Strategy Consulting, Creative Design, and Technology at scale. Please visit www.photon.com to learn more about us, how we work, and our customer case studies. Digital Transformation Starts Here.

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