ML Engineer
INR 1500K-2500K (estimate) Mid-level Full Time
Tasks
- Build and maintain data pipelines
- Collaborate with process engineers and subject matter experts
- Deploy models using APIs batch pipelines and real time streaming
- Design build and deploy end to end AI ML pipelines
- Develop optimization models
- Develop time series forecasting and prediction models
- Implement model monitoring drift detection and retraining pipelines
- Perform feature engineering for multivariate time series data
- Select and implement AI/ML algorithms
- Train evaluate monitor and retrain AI ML models
Perks/Benefits
- N/A
Skills/Tech-stack
API | APIs | Apache Spark | Azure Data | Azure Data Factory | Azure Machine Learning | CI/CD | Data Factory | Data Pipelines | Databricks | Deep learning | Django | Drift Detection | Feature Engineering | Flask | Kafka | MLOps | Machine Learning | Matplotlib | Model Drift | Model Drift Detection | Model Monitoring | Model versioning | Mqtt | NLTK | NumPy | Pandas | PySpark | PyTorch | Python | Real Time | Real-time Streaming | SQL | SciPy | Scikit-learn | Seaborn | TensorFlow | Time Series
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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