Data Scientist
INR 2500K-4500K (estimate) Senior-level Full Time
Tasks
- Build production ready ML pipelines
- Collaborate with stakeholders to translate requirements into ML solutions
- Conduct experiment design model evaluation benchmarking and documentation
- Deploy and train models using cloud services
- Design develop operationalize AI and ML models
- Develop CI CD and MLOps workflows
- Ensure compliance with quality security and documentation standards
- Implement feature engineering and model optimization
- Own technical components and deliver with quality
- Provide technical guidance and mentor junior engineers
Perks/Benefits
- Equity and inclusion focus
- Mentorship opportunities
- Travel to other locations in India and globally
- Work on global projects
Skills/Tech-stack
Advanced Statistics | Apache Spark | Azure Data | Azure Data Factory | Azure Kubernetes | Azure Kubernetes Service | Azure Machine Learning | Azure Storage | CI/CD | Cloud Dataflow | Computer Vision | Data Factory | Databricks | Deep learning | Diffusion Models | Docker | GANs | Generative AI | Git | Google BigQuery | Google Cloud | Google Cloud Dataflow | Hugging Face | Hugging Face Transformers | Kubernetes Service | LLMs | Langchain | Linear Algebra | MLflow | Machine Learning | Optimization | Probability | PyTorch | Python | Series modeling | Statistical modeling | TensorFlow | Time Series | Time Series Modeling | Vertex AI
Education
N/A
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