Senior Data Scientist
Tasks
- Architect agentic AI systems and NLP solutions
- Build predictive models for forecasting classification anomaly detection recommendation
- Collaborate with engineering to build scalable ML systems
- Define experimentation frameworks evaluation methods model monitoring
- Drive data science projects from problem formulation to production
- Evaluate and apply advancements in AI LLMs and machine learning
- Implement optimization models and heuristics for routing capacity planning resource allocation
- Lead machine learning AI optimization solution design development deployment
- Mentor junior data scientists and analysts
- Translate business problems into analytical technical solutions
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | Anomaly Detection | Artificial Intelligence | CI/CD | Capacity Planning | Docker | Forecasting | Kubernetes | LLM | Language Processing | MLOps | Machine Learning | Model Monitoring | Natural Language | Natural Language Processing | Operations Research | Optimization | Prompt engineering | PyTorch | Python | RAG | Recommendation Systems | Resource allocation | Routing | Scikit-learn | Software testing | System design | TensorFlow | Vector Databases | Version control | XGBoost
Education
N/A
Roles
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