Lead AI Engineer
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Job Location:
Frisco, TX - USA
Monthly Salary:
Not Disclosed
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
Job Title: Lead AI Engineer
Location: Frisco TX
Duration: / Term: 6 months
Experience Desired: 10 Years.
Job Description:
As a Lead AI Engineer / Python AI/ML Developer you will be at the forefront of defining and delivering complex AI-driven systems driving innovation technical leadership and execution excellence. You will shape the AI/ML vision and guide the team in developing advanced scalable solutions using the latest Generative AI and LLM technologies.
Key required skills
- AI/ML Expertise: 5 years of progressive experience in Artificial Intelligence Machine Learning and Generative AI
- Programming Mastery: Python (5 years) Keras (4 years) Pandas (4 years)
- ML Frameworks & Models: LangChain GPT-3 GANs Transformers (BERT T5) LLMs LLMOps RAG pipelines
- Time Series Forecasting: Advanced techniques including deep learning models
- Databases : Vector databases DynamoDB Postgres
Optional Skills
- Expertise in Synthetic Data Generation and Model Augmentation
- Experience with Semi-Supervised and Self-Supervised Learning Algorithms
- Proficiency in Cloud Platforms: AWS Azure GCP
- Performance Engineering for large-scale ML systems
Key Responsibilities
- Lead the design architecture and implementation of end-to-end AI/ML solutions using Python Keras Pandas and modern frameworks
- Spearhead initiatives around Generative AI and LLMs (e.g. GPT-3 BERT T5) to deliver intelligent enterprise-grade systems
- Oversee the development of data pipelines and engineering infrastructure using Kafka Big Data tools ELK Aurora DB
- Apply advanced techniques in Time Series Forecasting Predictive Analytics and Deep Learning
- Mentor and lead AI/ML engineers and data scientists; define best practices and ensure team productivity
- Collaborate with stakeholders to understand business requirements and translate them into AI-powered solutions
- Drive PoCs model validation experimentation and innovation across Generative AI initiatives
- Deploy and optimize machine learning models in production environments (AWS Azure GCP)
- Ensure the responsible and ethical use of AI through proper governance monitoring and explainability practices
- Evaluate and integrate emerging AI technologies and recommend their adoption where beneficial
- Contribute to strategic planning for AI roadmaps tool selection and platform scalability
Key Skills:
AI/ML Python Keras Pandas LLM Time series forecasting
Key Skills
- Administrative Skills
- Facilities Management
- Biotechnology
- Creative Production
- Design And Estimation
- Architecture
