Data Scientist - LLM / Machine Learning

Key Responsibilities

• Design, develop, and deploy machine learning models that power autonomous functionality within our cloud- based operations management platform
• Conduct on-site visits to observe real-world system environments and evaluate model performance in action
• Collaborate closely with cross-functional teams, including product management and engineering, to define
• requirements and integrate ML solutions into production systems
• Conduct exploratory data analysis for model development and optimization
• Continuously evaluate model performance and implement improvements to enhance accuracy, reliability, and scalability
• Stay current with advancements in machine learning research and tools, applying relevant innovations to real- world challenges
• Build and maintain robust data pipelines and workflows to enable training and deployment of ML models in a cloud-native environment

Required Qualifications

• Masters in Computer Science, Data Science, Artificial Intelligence, or a related field, OR equivalent experience

• PhD is a plus Demonstrated proficiency in Python and relevant ML libraries (e g , PyTorch, Scikit-learn)
• Strong understanding of machine learning algorithms, statistical modeling, and data structures
• Solid knowledge of data engineering concepts and experience working with large-scale, real world datasets
• Proven ability to turn complex problems into practical, deployable solutions
• Excellent communication and collaboration skills, with the ability to explain technical concepts to non-technical stakeholders

Preferred

• Experience deploying machine learning models in cloud environments (e g , AWS, Azure, or Google Cloud)
• Experience with developing LLMs and agentic AI
• Familiarity with tabular and sparse data
• Exposure to time-series data or anomaly detection use cases
• Familiarity with online learning and other ML techniques
• Contributions to open-source projects, published research in machine learning or applied data science, or relevant personal projects
• Familiarity with MLOps best practices, including model monitoring, drift detection, and retraining pipelines
• Prior experience working on B2B SaaS platforms operational technology systems