QA Automation Lead (AI/ML & GenAI)
Atlanta, Texas, United States of America
Contract
2 weeks ago
Key skills
PythonAIMLGenAIRAGLlamaIndexPyTorchTensorFlowscikit-learnFlaskAWSKubernetesDockerBedrockNeo4jRESTfulCI/CD
About this role
# W2 Requirement
Quality Engineering Experience: 8 10 years overall (minimum 4 years in AI/ML and GenAI) Required Skills Strong proficiency in Python (Fast API, 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 (Lang Chain, LlamaIndex, Lang Graph, 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.