Conjoint Inc · 14 hours ago
Test Automation Lead | AI/ML
Alpharetta, GA
Contract
Onsite
Lead/Staff
8+ years expConjoint Inc is seeking a Test Automation Lead specializing in AI/ML. The role involves developing and implementing test automation strategies while ensuring the quality of AI/ML pipelines and frameworks.
Computer Software
Hiring Manager
Tapan Patel
Responsibilities
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
Qualification
Required
Quality Engineering Experience: 8–10 years overall (minimum 5 years in AI/ML and GenAI)
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
Company
Conjoint Inc
11-50 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase