What are the responsibilities and job description for the Senior Data Scientist AI/Automation for QA Triage Optimization position at MSys Technologies - USA?
Job Details
Job Title: Senior Data Scientist AI/Automation for QA Triage Optimization
Location: San Jose, CA
Duration: 3 month
Job Summary:
We are seeking a Senior Data Scientist with expertise in AI-driven triage optimization, log analysis, and system migrations to support QA leadership. The goal is to reduce triage time from 5 days to 2-3 days by leveraging AI, automation, and predictive analytics. The ideal candidate must have strong programming expertise in Java, C , Python, and experience working with Kafka, distributed systems, and event-driven architectures.
Key Responsibilities:
- Triage Optimization: Design and implement AI/ML solutions to accelerate defect triage and root cause analysis using Tracia.
- Log Analysis & Debugging: log collection, debugging, and visualization to identify patterns and reduce resolution time.
- Streaming & Event-Driven Processing: Work with Kafka and other streaming platforms to process, analyze, and categorize real-time logs for faster issue detection.
- Migration Support: Assist in transitioning legacy triage processes to AI-enhanced automated workflows.
- AI/ML Implementation: Build predictive models for log classification, anomaly detection, and failure analysis to improve issue resolution.
- Automation & Workflow Improvement: Develop automated data processing and log analysis pipelines to minimize manual effort.
- Performance Optimization: Optimize defect detection using AI-powered tools and enhance triage accuracy.
- Collaboration: Work closely with QA, DevOps, and Engineering teams to integrate AI-driven solutions into existing workflows.
- Real-time Monitoring & Dashboards: Create real-time dashboards using Tracia for tracking system health and triage efficiency.
- Continuous Improvement: Refine AI models, enhance automation strategies, and implement best practices for faster issue resolution.
Required Skills & Qualifications:
- 7 years of experience in Data Science, AI/ML, and automation within QA, DevOps, or Software Engineering environments.
- Strong programming skills in Java, C , and Python for automation and log analysis.
- Experience with Kafka and event-driven architectures for log streaming, analysis, and real-time processing.
- Hands-on experience in log tracking, debugging, and visualization.
- Proven expertise in reducing triage time and implementing AI-driven log analysis and defect prediction models.
- Experience with AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn).
- Hands-on experience with log aggregation tools (Splunk, ELK Stack, Prometheus, Grafana).
- Expertise in automation frameworks (Selenium, Robot Framework, or custom Python-based automation).
- Deep understanding of DevOps practices, CI/CD pipelines, and cloud platforms (AWS, Azure, Google Cloud Platform).
- Experience in migrations from legacy triage processes to AI-based automation.
- Strong problem-solving and debugging skills, especially in log analysis and system performance optimization.
Preferred Qualifications:
- Knowledge of Nutanix, virtualization, and storage technologies.
- Familiarity with predictive analytics and AI-based root cause analysis.
- Experience working with incident management and observability tools.
- Exposure to distributed computing frameworks (Spark, Flink, or similar).
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
