Senior Data Scientist

Overview

Senior Data Scientist Engineer on the Product-building AI/ML team, leading AI and machine learning research initiatives while growing as a hands-on software engineer, taking ML innovation from concept to production.

What you'll do

• Build and deploy production ML systems from prototype through to production
• Improve the reliability, accuracy, and maintainability of production ML services
• Design and implement novel ML/AI approaches, staying current with cutting-edge research and methodologies
• Develop ML solutions for AIOps and IT operations using large-scale operational data
• Collaborate with cross-functional teams, including product managers and other stakeholders, to align AI/ML solutions with organizational goals and objectives
• Communicate effectively, clearly documenting work and conveying findings, insights, and recommendations to both technical and non-technical stakeholders
• Guide ML engineering decisions including model selection, feature engineering, and optimization strategies
• Work closely with AI Systems Tech Leads to ensure delivery of optimized AI systems and services to production

What you'll need

• Relevant undergraduate degree in computer science, engineering, mathematics, or a similar discipline
• 4+ years in ML engineering with demonstrated advanced development or research capabilities (innovative projects, publications, theses)
• Deep understanding of statistical modeling, time-series, and ML fundamentals
• Strong Python skills with ML libraries (PyTorch, TensorFlow, scikit-learn, Hugging Face)
• Experience with unsupervised learning and clustering, including on unstructured text data
• Experience with anomaly detection and time-series forecasting (Prophet, VAR, deep learning approaches)
• Working knowledge of causal inference and root cause analysis methods
• Ability to translate research papers into working implementations
• Solid foundation in software development practices (testing, version control, code review)
• Experience building and operating production ML services (APIs, streaming data, SQL, containers, cloud)
• Background in NLP is essential
• Experience with ML experiment tracking, model versioning, and reproducible research practices

Nice to have

• Advanced degree in AI/ML or a related field
• Deep learning experience
• Track record of research publications or open-source ML contributions
• Domain experience in AIOps, observability or ITSM

Details

• Location: Bangalore, India (onsite)
• Reports to the Sr. Director, Engineering