Senior Data Scientist

Coralogix is a modern, full-stack observability platform transforming how businesses process and understand their data. Our unique architecture powers in-stream analytics without reliance on expensive indexing or hot storage. We specialize in comprehensive monitoring of logs, metrics, trace and security events with features such as APM, RUM, SIEM, Kubernetes monitoring and more, all enhancing operational efficiency and reducing observability spend by up to 70%.

In this role as a Senior Data Scientist, you will:

• Lead the development and deployment of advanced Machine and Deep Learning into production.
• Be the primary expert/focal point, ensuring optimal performance, scalability, and practical application within the organization, taking ownership of end-to-end project lifecycle (from data collection to model training, evaluation, and deployment)
• Develop generative AI capabilities to extract detailed insights, paving the path for pioneering data exploration and analysis.
• Implement advanced techniques for LLM training, including parameter efficient fine-tuning, and optimization for cost-effectiveness and response speed.
• Define and establish metrics for evaluating LLM performance, including accuracy, bias, and real-time responsiveness, driving continuous improvement and innovation.
• Collaborate closely with cross-functional teams to integrate data science solutions seamlessly into existing infrastructure.
• Communicate findings and recommendations effectively to both technical and non-technical stakeholders.

Requirements:

• B.Sc./M.Sc. degree in Computer Science, Engineering, Math, Statistics or other equivalent fields. Ph.D. an advantage
• 5+ years of professional experience as a Data Scientist - a strong background in NLP/Generative AI/ML concepts and models.
• Hands-on experience with training and fine-tuning LLMs in production systems.
• Experience working with Cloud Infrastructure: AWS, Docker, Kubernetes etc.
• Proficiency in Python programming and deep understanding of machine learning and deep learning techniques, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformers.
• Proven track record of deploying machine learning models in production environments, with a keen focus on scalability, reliability, and performance optimization.
• Strong background in MLOps workflows, including versioning of datasets, and experience with platforms such as MLFlow.
• Skilled in continuous model evaluation and adaptation to evolving user preferences and behavior patterns based on real-world feedback.

Cultural Fit

We’re seeking candidates who are hungry, humble, and smart. Coralogix fosters a culture of innovation and continuous learning, where team members are encouraged to challenge the status quo and contribute to our shared mission. If you thrive in dynamic environments and are eager to shape the future of observability solutions, we’d love to hear from you.

Coralogix is an equal opportunity employer and encourages applicants from all backgrounds to apply.