
Artificial Intelligence Expert Wanted
4 days ago
Are you a Machine Learning expert seeking a challenging role? Look no further We have an exciting opportunity for a skilled engineer to join our team.
">Job Description
">We are looking for an experienced Machine Learning Engineer to develop state-of-the-art time series models for anomaly detection and forecasting in observability data. As a key member of our Observability platform, you will be responsible for designing a root cause analysis system using Large Language Models (LLMs), causal analysis, machine learning, and anomaly detection algorithms.
">Your task will include developing LLMs for time series analysis, creating highly scalable ML pipelines for real-time monitoring and alerting, and building and maintaining ML Ops workflows for model deployment, evaluation, monitoring, and updates.
">You will handle large datasets using Python and its ML ecosystem, including libraries like Scikit-Learn, TensorFlow, PyTorch, Statsmodels, Prophet, or similar. You will use Bayesian methods, Granger causality, counterfactual analysis, and other techniques to derive meaningful system insights.
">We collaborate with other teams to deploy ML-driven observability solutions in production. If you have experience in AI Agent evaluation and optimization, it's a plus.
">Requirements:
">- ">
- 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.).">
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.">
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