Job ID: JOB_ID_8889
Job Overview:
We are seeking a highly experienced SDET Lead / Test Automation / QA Automation Lead with a strong background in AI/ML and GenAI to join our team. This is a critical role requiring a blend of deep technical expertise in quality engineering, automation frameworks, and cutting-edge AI technologies. The ideal candidate will have a proven track record of architecting and implementing robust test strategies for complex systems, with a specific focus on AI/ML and Generative AI applications.
Key Responsibilities:
- Lead and mentor a team of QA engineers and SDETs in the design, development, and execution of automated test cases.
- Architect and implement comprehensive test strategies for AI/ML and GenAI features, ensuring quality, performance, and reliability.
- Develop and maintain scalable, reusable, and high-performing automation frameworks using Python.
- Hands-on development of AI/ML pipelines, including data preprocessing, model training, fine-tuning, and deployment using frameworks like TensorFlow, PyTorch, and Scikit-learn.
- Implement and optimize RAG (Retrieval-Augmented Generation) pipelines, focusing on knowledge management with vector databases, embeddings, and graph technologies.
- Expertise in prompt engineering, including prompt optimization and fine-tuning techniques for GenAI models.
- Familiarity with graph databases (e.g., Neo4j) and agent-based architectures for AI applications.
- Ensure strong grounding in software quality engineering concepts and best practices.
- Implement and manage CI/CD pipelines for automated testing and deployment.
- Utilize containerization technologies (Docker, Kubernetes) and cloud platforms (AWS) for deployment and testing.
- Collaborate closely with development teams, product managers, and data scientists to understand requirements and deliver high-quality software.
- Troubleshoot and resolve complex technical issues, focusing on performance optimization and solutioning.
- Stay abreast of the latest trends and advancements in AI/ML, GenAI, and test automation technologies.
Required Skills and Experience:
- Quality Engineering Experience: 8-10 years overall, with a minimum of 4 years specifically in AI/ML and GenAI.
- Programming Proficiency: Strong proficiency in Python, including experience with Fast API, Flask, async programming, and RESTful APIs.
- AI/ML Expertise: Proven experience in AI/ML pipelines, data preprocessing, model training, fine-tuning, and deployment using TensorFlow, PyTorch, and Scikit-learn.
- GenAI Frameworks: Hands-on experience with GenAI frameworks such as Lang Chain, LlamaIndex, Lang Graph, Neo4j, Bedrock, etc.
- RAG Implementation: Hands-on experience implementing RAG pipelines, including knowledge management with vector databases, embeddings, and graphs.
- Prompt Engineering: Working knowledge of prompt engineering, optimization, and fine-tuning.
- Graph Databases/Agents: Familiarity with Graph databases (Neo4j) or agent-based architectures.
- Software Architecture: Ability to architect and code in Python for scalable, reusable, and high-performing systems.
- Quality Engineering Fundamentals: Strong understanding of software quality engineering concepts and automation frameworks.
- DevOps Practices: Solid understanding of CI/CD, containerization (Docker/Kubernetes), and cloud (AWS) deployment.
- Problem-Solving: Excellent debugging, performance optimization, and solutioning skills.
Additional Requirements:
- Location: Alpharetta, GA (Local candidates only).
- Employment Type: Onsite, Final round F2F interview required.
- Experience: 12+ years of overall experience.
Special Requirements
Visa constraints: Locals only. Screening steps: Final round F2F interview. Interview modes: F2F.
Compensation & Location
Salary: $120,000 – $160,000 per year (Estimated)
Location: Alpharetta, GA
Recruiter / Company – Contact Information
Recruiter / Employer: DVG Tech Solutions LLC
Email: har@dvgts.com
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