Test Automation Lead | AIML
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Job Location:
Alpharetta, GA - USA
Monthly Salary:
Not Disclosed
Posted on:
18 hours ago
Vacancies:
1 Vacancy
Job Summary
Job Role: Test Automation Lead AI/ML
Job Location : Alpharetta GA-Onsite
Job Duration: Contract
Interview: MS Teams
Quality Engineering Experience: 8 10 years overall (minimum 5 years in AI/ML and GenAI) Required Skills Strong proficiency in Python (FastAPI Flask async programming RESTful APIs). Proven experience in AI/ML pipelines data preprocessing model training fine-tuning and deployment (TensorFlow PyTorch Scikit-learn). Must have hands-on with GenAI frameworks (LangChain LlamaIndex LangGraph Neo4j Bedrock etc.). Hands-on experience implementing the RAG pipelines - Knowledge Management with vector databases embeddings Graphs. Working knowledge of prompt engineering optimisation and fine-tuning. Familiarity with Graph databases (Neo4j) or agent-based architectures. Architect and code in Python for scalable reusable and high-performing systems. Strong grounding in software quality engineering concepts and automation frameworks. Solid understanding of CI/CD containerization (Docker/Kubernetes) and cloud(AWS) deployment. Excellent debugging performance optimization and solutioning skills. Nice to Have 006fu00000Bccp8AAB AI QE Lead Customer: Fiserv Location: Alpharetta GA (Onsite 5 days a week) Job Title as per SoW: QEAI Lead Python AI/ML Quality Engineering Experience: 8 10 years overall (minimum 5 years in AI/ML and GenAI) Required Skills Strong proficiency in Python (FastAPI Flask async programming RESTful APIs). Proven experience in AI/ML pipelines data preprocessing model training fine-tuning and deployment (TensorFlow PyTorch Scikit-learn). Must have hands-on with GenAI frameworks (LangChain LlamaIndex LangGraph Neo4j Bedrock etc.). Hands-on experience implementing the RAG pipelines - Knowledge Management with vector databases embeddings Graphs. Working knowledge of prompt engineering optimisation and fine-tuning. Familiarity with Graph databases (Neo4j) or agent-based architectures. Architect and code in Python for scalable reusable and high-performing systems. Strong grounding in software quality engineering concepts and automation frameworks. Solid understanding of CI/CD containerization (Docker/Kubernetes) and cloud(AWS) deployment. Excellent debugging performance optimization and solutioning skills. Nice to Have Experience with Playwright/Selenium-based test automation frameworks. Prior experience in product
Key Skills
- Account Payable
- Apprentice
- English Language
- Mac Os
- Facilities Management
- CPA
