Photon Logo

Photon

Sr Data Engineer - Gen AI/ML - Tampa

Sorry, this job was removed at 06:31 a.m. (EST) on Tuesday, Sep 01, 2026
In-Office or Remote
Hiring Remotely in United States
42K-148K Annually
Senior level
In-Office or Remote
Hiring Remotely in United States
42K-148K Annually
Senior level

Similar Jobs

27 Minutes Ago
Remote or Hybrid
3 Locations
105K-163K Annually
Senior level
105K-163K Annually
Senior level
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Lead federal civilian sales across the assigned territory by developing pipeline, territory and account strategies, forecasting, exceeding revenue quotas, and closing cybersecurity software opportunities. Build executive relationships with government customers, partners, and prospects; position endpoint security solutions; negotiate agreements; and collaborate with field sales, marketing, engineering, services, support, and product teams. Maintain accurate opportunity data in Salesforce using MEDDPICC. The role is remote and requires travel on short notice.
Top Skills: Artificial IntelligenceCloud ComputingCybersecurityEndpoint SecuritySaaSSalesforce
27 Minutes Ago
Remote or Hybrid
USA
95K-140K Annually
Mid level
95K-140K Annually
Mid level
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Performs red team operations, penetration testing, adversary emulation, and security assessments across systems, applications, databases, and networks. Develops customer-facing reports and recommendations, communicates findings to technical and executive audiences, supports information security programs, and provides operational guidance during crisis scenarios. Requires advanced security tooling, networking, systems, scripting, and red team expertise, with occasional travel.
Top Skills: Adversary EmulationAi TechnologiesAutomation ScriptingBurp SuiteCobalt StrikeFirewallsLinuxLoad BalancersmacOSMail ServersMetasploitMitre Att&CkNessusNmapPenetration TestingProxiesRoutersSwitchesUnixVulnerability AssessmentWeb ServersWindowsWireless Access Points
27 Minutes Ago
Remote or Hybrid
3 Locations
105K-163K Annually
Senior level
105K-163K Annually
Senior level
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Owns a Federal Civilian sales territory by developing pipelines, planning accounts, forecasting, exceeding quotas, and closing enterprise cybersecurity deals. Builds relationships with senior government decision-makers, partners, and customers; executes account strategies; negotiates agreements; and collaborates with sales, marketing, engineering, services, support, and product teams. The role requires federal regulations expertise, cybersecurity and SaaS knowledge, executive communication skills, Salesforce and MEDDPICC proficiency, and willingness to travel.
Top Skills: AICloudCybersecurityEndpoint SecurityMeddpiccSaaSSalesforce
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.
The summary above was generated by AI

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

What you need to know about the Charlotte Tech Scene

Ranked among the hottest tech cities in 2024 by CompTIA, Charlotte is quickly cementing its place as a major U.S. tech hub. Home to more than 90,000 tech workers, the city’s ecosystem is primed for continued growth, fueled by billions in annual funding from heavyweights like Microsoft and RevTech Labs, which has created thousands of fintech jobs and made the city a go-to for tech pros looking for their next big opportunity.

Key Facts About Charlotte Tech

  • Number of Tech Workers: 90,859; 6.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lowe’s, Bank of America, TIAA, Microsoft, Honeywell
  • Key Industries: Fintech, artificial intelligence, cybersecurity, cloud computing, e-commerce
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (CED)
  • Notable Investors: Microsoft, Google, Falfurrias Management Partners, RevTech Labs Foundation
  • Research Centers and Universities: University of North Carolina at Charlotte, Northeastern University, North Carolina Research Campus

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account