Lead Developer - Python , Gen AI
Luminant
- Location
- Hybrid (Royal Lane Office, Texas)
- Employment
- Full-time
- Level
- Senior Level
About the Role
Vistra is a global leader in energy services. This role is part of the Enterprise Data & Analytics team, focusing on building solutions that power a data-driven future by integrating Generative AI into enterprise data products and ML platforms.
Skills
Full job details
If you have what it takes to become part of the Vistra family and would like to start a promising career with a global leader, take a look at the exciting employment opportunities that are currently available and apply online.
Job Summary
As a Lead Developer (Python, GenAI), you will build the solutions that power our data-driven future. You will play a pivotal role within the Enterprise Data & Analytics team, improving our ML and modeling platforms, increasing the speed of data product delivery, and driving innovative business solutions alongside partners outside of Technology. Operating as a hands-on individual contributor, you will own the design and implementation of a diverse array of Python-based services which integrate LLM capabilities directly into our ecosystem while serving as a champion for Generative AI. This role requires strong independent execution, the ability to collaborate across diverse teams, and a mindset oriented toward enabling and uplifting those around you.Job Description
Key Accountabilities
Education, Experience, & Skill Requirements
Key Metrics
#LI-ND1
#LI-Hybrid
Job Family
Information TechnologyCompany
Vistra Corporate Services CompanyLocations
Irving, TexasTexasWe are a company of people committed to: Exceeding Customer Expectations, Great People, Teamwork, Competitive Spirit and Effective Communication. If this describes you, then apply today!
If you currently work for Vistra or its subsidiaries, please apply via the internal career site.
It is the policy of the Company to comply with all employment laws and to afford equal employment opportunity to individuals in all aspects of employment, including in selection for job opportunities, without regard to race, color, religion, sex, sexual orientation, gender identity, pregnancy, national origin, age, disability, genetic information, military service, protected veteran status, or any other consideration protected by federal, state or local laws.
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