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Job Description
We are seeking a Data Science focused QA engineer to develop next-generation Security Analytics products. You will work closely with Data scientists, engineers and product managers to design and optimize AI driven security solutions.
As QA engineer, the ideal candidate has a strong background in Backend engineering, system integrations, ML,AI and data pipelines.
Responsibilities (QA Engineer – Data Science / ML)
Establish QA best practices for Traditional ML and Generative AI workflows, including:
Functional and regression testing of ML pipelines using pytest and Airflow/Dagster test utilities and API testing tools (e.g., Postman, pytest-httpx).
Validate data contracts, schemas, and API compatibility across services using Pandera, and custom validation rules.
Model behavior validation (input/output ranges, invariants, edge cases) using NumPy, SciPy, and statistical assertions
Runtime and performance testing for inference latency, throughput, and resource usage using Locust, k6, or custom load tests.
Integrate ML-specific tests into CI/CD pipelines using GitHub Actions, GitLab CI, or Jenkins, alongside containerized workflows (Docker, Kubernetes).
Implement LLM-specific testing, including:
Prompt and response validation, determinism checks, and regression testing using LangSmith.
Evaluation of hallucinations, toxicity, and policy adherence using LLM-as-a-judge and/or rule-based checks.
Cost, token usage, and timeout monitoring for GenAI workflows
Verify logging, monitoring, and alerting for ML services using Prometheus, Grafana, and cloud-native observability tools.
Requirements:
BS or MS in Computer Science or a related field.
2-5 years of experience in Data or Machine Learning projects.
Familiarity and experience of GenAI applications and tools -PyTorch, LangChain, vLLM etc.
Demonstrates a commitment to continuous learning in this rapidly evolving field.
Tools listed in the responsibilities section.
Skills Required
- BS or MS in Computer Science or a related field
- 2-5 years of experience in Data or Machine Learning projects
- Familiarity with GenAI applications and tools such as PyTorch, LangChain, vLLM
Qualys Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Qualys and has not been reviewed or approved by Qualys.
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Affordable Benefits — Benefits costs are widely viewed as low for employees and dependents, with healthcare often described as almost fully paid for. Feedback suggests this affordability helps offset perceptions of lower base pay in some roles.
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Healthcare Strength — Healthcare offerings are broad, including multiple medical plan options, dental and vision coverage, mental health support, and disability insurance. Benefits are described as “pretty amazing” or “great,” reinforcing perceived quality and coverage depth.
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Equity Value & Accessibility — Equity participation is accessible through company stock plans and an employee stock purchase plan. Compensation packages commonly include equity alongside salary and bonus, which some consider a meaningful part of total rewards.
Qualys Insights
What We Do
Qualys, Inc. (NASDAQ: QLYS) is a pioneer and leading provider of disruptive cloud-based security, compliance and IT solutions with more than 10,000 subscription customers worldwide, including a majority of the Forbes Global 100 and Fortune 100. Qualys helps organizations streamline and automate their security and compliance solutions onto a single platform for greater agility, better business outcomes, and substantial cost savings. The Qualys Cloud Platform leverages a single agent to continuously deliver critical security intelligence while enabling enterprises to automate the full spectrum of vulnerability detection, compliance, and protection for IT systems, workloads and web applications across on premises, endpoints, servers, public and private clouds, containers, and mobile devices. Founded in 1999 as one of the first SaaS security companies, Qualys has strategic partnerships and seamlessly integrates its vulnerability management capabilities into security offerings from cloud service providers, including Amazon Web Services, the Google Cloud Platform and Microsoft Azure, along with a number of leading managed service providers and global consulting organizations. For more information, please visit http://www.qualys.com
