Lead Python AI/ML Developer (Local to TX only)

Role : Lead Python AI/ML Developer (14+)

Location: Frisco, TX

Number of days onsite 3

Duration : Long Term Contract

Mandatory Areas

Must have Skills

Skill 1 7Yrs of Exp AI/ML,

Skill 2 7Yrs of Exp Python (5+ years), Keras (4+ years), Pandas (4+ years)

Skill 3 5Yrs of Exp , ML Frameworks & Models: LangChain, GPT-3, GANs, Transformers (BERT, T5), LLMs, LLMOps , RAG pipelines

Mandatory Skills(Only 3-4) 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, Google Cloud Platform
Performance Engineering for large-scale ML systems

Job Description : As a Lead 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 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, 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

Animesh Saurabh | Senior Talent Acquisition Specialist
Amaze Systems Inc

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Canada: 55 York Street, Suite 401, Toronto, ON M5J 1R7

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