Machine Learning & Data Science Engineer

What You'll Work On

• Develop state-of-the-art time series models for anomaly detection and forecasting in observability data.
• Design a root cause analysis system using LLMs, causal analysis, machine learning and anomaly detection algorithms.
• Develop Large Language Models for time series analysis
• Create highly scalable ML pipelines for real-time monitoring and alerting.
• Build and maintain ML Ops workflows for model deployment, evaluation, monitoring, and updates.
• Build frameworks to evaluate AI agents.
• Handle large datasets using Python and its ML ecosystem (e.g., NumPy, Pandas, Scikit-Learn, TensorFlow, PyTorch, Statsmodels).
• Use Bayesian methods, Granger causality, counterfactual analysis, and other techniques to derive meaningful system insights.
• Collaborate with other teams to deploy ML-driven observability solutions in production.
  

What We're Looking For

• 5+ years of hands-on experience in Machine Learning, Time Series Analysis, and Causal Analytics.
• Bachelors degree in Computer Science, Mathematics or Statistics. Masters or PhD is a plus
• Strong proficiency in Python and libraries like Scikit-Learn, TensorFlow, PyTorch, Statsmodels, Prophet, or similar.
• Deep understanding of time-series modeling, forecasting, and anomaly detection techniques.
• Expertise in causal inference, Bayesian statistics, and causal graph modeling.
• Experience in ML Ops, model evaluation, and deployment in production environments.
• Working knowledge of databases and data processing frameworks (SQL, Spark, Dask, etc.).
• Experience in observability, monitoring, or AI-driven system diagnostics is a big plus.
• Background in AI Agent evaluation and optimization is a plus.
• Working with LLMs, fine-tuning LLMs, LLM Ops, LLM Agents is a big plus
  

Our Values

• Loyalty & Long-term Commitment - We invest in people who invest in us.
• Opinionated yet Open-Minded - We value strong perspectives but encourage constructive discussions.
• Passion - We seek individuals who are passionate about their craft.
• Humility & Integrity - Honest, transparent, and accountable team members are key.
• Adaptability & Self-Sufficiency - Ability to thrive in a fast-paced and evolving environment.
• Build Fast and Break Fast - We believe in rapid iteration and learning from failures.
  

What You'll Work On

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