Senior ML Engineer For Top MNC

We're seeking an experienced Machine Learning Engineer specializing in anomaly detection and correlation analysis to develop sophisticated systems for identifying complex patterns, causal relationships, and anomalies across multiple data streams. This role is crucial for our [predictive maintenance/fraud detection/system monitoring] initiatives.

Key Responsibilities:

Anomaly Detection:

Design and implement multi-variate anomaly detection systems

Develop real-time monitoring solutions

Create automated alert prioritization systems

Build pattern recognition models for complex time series

Implement adaptive thresholding mechanisms

Correlation Analysis:

Develop correlation detection algorithms across multiple data streams

Implement causality analysis frameworks

Create feature relationship discovery systems

Design correlation-based clustering methods

Build correlation visualization dashboards

Technical Requirements:

Anomaly Detection Techniques:

Statistical methods (Z-score, IQR)

Machine learning approaches:

Isolation Forest

One-class SVM

LSTM Autoencoders

Prophet/ARIMA models

Density-based algorithms

Correlation Analysis Methods:

Pearson/Spearman correlations

Granger causality tests

Cross-correlation functions

Mutual Information analysis

Canonical correlation analysis

Time-lagged correlation detection

Technical Stack:

Core Technologies

- Python (NumPy, Pandas, SciPy)

- Statistical libraries (statsmodels)

- ML frameworks (scikit-learn, TensorFlow)

- Time series tools (Prophet, statsmodels)

Data Processing

- Spark for distributed computing

- ElasticSearch for log analysis

Visualization

- Grafana/Kibana

Key Projects & Responsibilities:

1. Anomaly Detection Systems:

Build baseline behavior models

Implement dynamic thresholding

Design seasonality-aware detection

Create multi-dimensional anomaly scoring

2. Correlation Analysis:

Develop correlation matrices

Implement lag analysis

Create causality graphs

Design correlation-based alerts

3. Integration & Deployment:

Real-time monitoring pipelines

Automated alert systems

Correlation dashboards

Model performance tracking

Required Experience:

• 5+ years in ML/AI development
• Strong background in statistics
• Experience with time series analysis
• Proven track record with correlation analysis
• Production deployment experience