Data Scientist – AI & Cybersecurity
INR 2500K-4500K (estimate) Senior-level Full Time
Tasks
- Build fraud detection models
- Classify malware
- Conduct research on emerging AI techniques
- Create predictive security analytics
- Design scalable data pipelines
- Develop anomaly detection models
- Develop threat detection models
- Evaluate bias in models
- Lead end-to-end data science lifecycle
- Mentor AI and ML engineers
- Monitor model performance continuously
- Operationalize ML models into production
- Perform behavior analysis modeling
- Present insights to leadership
- Process cybersecurity logs and telemetry
- Run adversarial model evaluations
- Stay current on AI and cybersecurity trends
Perks/Benefits
Skills/Tech-stack
APIs | AWS | Adversarial Testing | Amazon SageMaker | Anomaly Detection | Apache Kafka | Apache Spark | Azure | Batch Processing | Bias Testing | Cloud platform | Data Pipelines | Deep learning | Distributed Computing | Elasticsearch | Embeddings | Experiment design | Feature Engineering | Feature Stores | Google Cloud | Google Cloud Platform | Graph Machine Learning | Hadoop | Kubeflow | Language Models | Language Processing | Large Language Models | MLflow | Machine Learning | Microservices | Mitre Attack | Model Evaluation | Model Interpretability | Natural Language | Natural Language Processing | NumPy | Pandas | PyTorch | Python | SIEM | SOAR | SOC Operations | Scikit-learn | Streaming processing | Supervised Learning | TensorFlow | Unsupervised Learning | Vector Databases | Vertex AI
Education
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