Senior Engineer, Machine Learning Engineering-2
Tasks
- Build and optimize time series forecasting frameworks
- Collaborate with stakeholders to deliver measurable analytical solutions
- Create model components and evaluation workflows
- Develop predictive and prescriptive models
- Ensure model governance explainability and responsible AI
- Integrate Generative AI and multi-agent systems
- Lead design and development of AI and analytics solutions
- Monitor production model performance and improve models
- Perform exploratory data analysis and feature engineering
- Stay current with advances in machine learning and agentic AI
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | ARIMA | Anomaly Detection | Autogen | B testing | Bayesian Inference | Cause analysis | Clustering | Compliance | Counterfactuals | CrewAI | Cross-validation | Data Analysis | Decision Trees | Deep learning | Drift Detection | ETS | Ensemble Methods | Error Decomposition | Experimental Design | Explainable AI | Exploratory Data Analysis | Fairness | Feature Engineering | Forecasting | GRU | Generative AI | Hybrid Forecasting | Hyperparameter Tuning | LSTM | Langgraph | Language Processing | Machine Learning | Model Evaluation | Model Governance | Natural Language | Natural Language Processing | Partial Dependence | Probabilistic Modeling | Prophet | Regression | Root Cause Analysis | Root cause | SARIMA | SHAP | Series forecasting | State Space Models | State-Space | Statistical Testing | Supervised Learning | Time Series | Time Series Forecasting | Transparency | Uncertainty Quantification | Unsupervised Learning | VAR
Education
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