Come work at a place where innovation and teamwork come together to support the most exciting missions in the world!
We areseekingaData Scientistto develop next-generation Security Analytics products You will work closely with engineers and product managers to prototype, design, develop, andoptimizedata-driven security solutions.
The ideal candidate has a strong background in machine learning,especially in the NLP/GenAI domain.
Responsibilities
Design, develop, and deploy Machine Learning models.
Collaborate with Product Managementand cross-functional stakeholders to define problem statements, develop solution strategies, and design scalable ML systems
Leverage Large Language Models (LLMs) to buildGenAIcapabilities to drive business impact.
Create insightful data visualizations, technical reports, and presentations to communicate findings to technical and non-technical audiences.
Deploy ML models in production and implement monitoring frameworksto ensure model performance, stability, and continuous improvement.
Requirements:
BS, MS, or Ph.D. inComputer Science, Statistics, or a related field
2-5 yearsof experience in Machine Learningprojects, including model development, deployment, and optimization.
Deep understanding of ML algorithms, their mathematical foundations, and real-world trade-offs.
ExpertiseinNLPtechniqueslikeNamed Entity Recognition,InformationRetrieval,Textclassification, Text-to-TextGenerationetc.
Familiarity and working experience ofGenAIapplications,Experience withprompting,fine-tuningandoptimizingLLMs.
Knowledge of recent advancements and trends inGenAI,demonstratinga commitment to continuous learning in this rapidly evolving field.
Hands-on experience with ML frameworkssuch as Scikit-Learn, TensorFlow,PyTorch,LangChain,vLLMetc.
Strong programming skills in Pythonand/or Java
Experience in SQL, Pandas, andPySparkfor efficient data manipulation.
Familiarity with microservice architectures, CI/CD,MLOpsbest practices.
Strong communication, problem-solving, and analytical skills; a collaborative team player
Nice to Have:
Familiarity with distributed computing frameworkssuch as Hadoop, Spark, and OpenSearch
Published researchin AI/ML in peer-reviewed journals or top conferences(e.g., NeurIPS, ICML, CVPR).
Prior experience applying AI/ML to cybersecurity use cases
Basicproficiencyin Unix/Linux environmentsfor scripting and automation

Qualys, Inc. (NASDAQ: QLYS) is a 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 Enterprise TruRisk 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.