Senior Data Scientist
Tasks
- Build ML AI features from prototype to production
- Deploy scalable maintainable AI systems
- Design and execute live A B experiments
- Implement NLP recommenders time series and anomaly detection
- Lead responsible AI practices
- Mentor team members and share knowledge
- Partner with product managers engineers and designers to define problems
- Run offline testing for ML models
Perks/Benefits
- Conferences
- Corporate discounts
- Home office support
- Hybrid work
- In-house training
- LinkedIn Learning
- Paid leave options
- Parental leave
- Study assistance
- Wellbeing support
Skills/Tech-stack
A/B | A/B Testing | AWS Bedrock | AWS Lambda | Amazon ECS | Amazon S3 | Amazon SageMaker | Anomaly Detection | B testing | Calibration | Data Governance | Data Quality | Deep learning | Drift monitoring | Hugging Face | Hugging Face Transformers | Human-in-the-loop | Langchain | Langgraph | Language Models | Language Processing | Large Language Models | Machine Learning | Natural Language | Natural Language Processing | NoSQL | Privacy Compliance | Python | RAG | Recommender Systems | Responsible AI | Retrieval-Augmented Generation | SQL | Streaming Data | Telemetry | The Loop | Time Series | Transformers | Vector Databases
Education
N/A
Roles
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