Senior Manager – Data Scientist
Tasks
- Build multi-agent systems
- Conduct cost/benefit analysis
- Conduct executive updates
- Create solution product designs
- Develop RAG pipelines
- Ensure on-time delivery
- Identify HR business problems
- Implement AI solutions end to end
- Lead and mentor data scientists and AI ML engineers
- Orchestrate LLM workflows
- Oversee solution development testing and deployment
- Perform code reviews and architecture reviews
- Pitch AI solution ideas
- Prioritize AI use cases
- Translate business requirements to technical specifications
Perks/Benefits
Skills/Tech-stack
AWS SageMaker | Azure ML | BERT | CNN | Chain-of-Thought | Clustering | GCP Vertex | GCP Vertex AI | Keras | LLM Evaluation | LSTM | LoRA | Logistic Regression | MLOps | Neural Networks | OpenAI | PEFT | Pandas | Prompt engineering | PyTorch | Python | RAG | RNN | Random Forest | React | SQL | SVM | Scikit-learn | Spark | TensorFlow | Transformers | Vertex AI | XGBoost
Education
Roles
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