Job Description

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.

• 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

• Expertise in Synthetic Data Generation and Model Augmentation
• Experience with Semi-Supervised and Self-Supervised Learning Algorithms
• Proficiency in Cloud Platforms: AWS, Azure, Google Cloud Platform
• Performance Engineering for large-scale ML systems

• 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, Google Cloud Platform)
• 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

AI/ML, Python, Keras, Pandas, LLM, Time series forecasting

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