AI/ML Engineer

Job Title: Senior ML Engineer
Location: Bangalore

About the Role:

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 (stats models)

• - ML frameworks (scikit-learn, TensorFlow)

• - Time series tools (Prophet, stats models)

  # 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

Technical Skills Matrix:

| Skill Area | Required Technologies/Methods |

|------------------------|---------------------------------------|

| Statistical Analysis | Hypothesis testing, A/B testing |

| Time Series | ARIMA, Prophet, LSTM |

| Correlation Tools | Pearson, Spearman, DTW |

| Data Processing | Spark, Kafka, SQL |

| Visualization | Grafana, Plotly, D3.js |

| MLOps | Docker, Kubernetes, CI/CD |