Sr Data Scientist
Tasks
- Analyze large scale machine and service datasets
- Apply statistical machine learning and optimization techniques
- Build AI agents
- Collaborate with cross-functional teams to integrate AI solutions
- Communicate technical findings and recommendations
- Deploy AI/ML models
- Develop and operationalize generative AI solutions
- Ensure scalability reusability and data pipeline quality
- Implement Retrieval-Augmented Generation architectures
- Lead AI ML model design and development
- Mentor junior team members
Perks/Benefits
- Flexible working
- Health and wellness coverage
- Leave programs
- Recognition and incentive programs
- Retirement savings plans
- Work-life balance support
Skills/Tech-stack
AI Agents | AWS Bedrock | CNN | Data Analysis | Data Pipelines | Data Quality | Data cleaning | Deep learning | Exploratory Data Analysis | Feature Engineering | GAN | GenAI | Jupyter | MLOps | Machine Learning | Optimization | Predictive Analytics | Predictive Maintenance | PyTorch | Python | RAG | RNN | Retrieval-Augmented Generation | Scikit-learn | Spark | Statistical modeling | TensorFlow
Education
Roles
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