Senior Manager – Data Scientist
Tasks
- Build RAG pipelines
- Conduct MLOps activities
- Conduct cost/benefit analysis
- Create AI solution design
- Deploy solutions on cloud platforms
- Develop technical specifications and roadmaps
- Identify HR business problems
- Implement machine learning solutions
- Lead solution development and testing
- Maintain executive alignment
- Mentor data scientists and AI engineers
- Orchestrate LLM workflows
- Perform code and architecture reviews
- Present executive progress updates
- Prioritize AI use cases
- Secure stakeholder buy-in
Perks/Benefits
Skills/Tech-stack
Agent systems | Agentic AI | Amazon SageMaker | Apache Spark | Artificial neural networks | Azure Machine Learning | BERT | Chain-of-Thought | Clustering | Convolutional Neural Networks | Fine Tuning | GPT | Generative AI | Google Cloud | Google Cloud Vertex | Google Cloud Vertex AI | Keras | LLM Evaluation | LLM orchestration | LSTM | LoRA | Logistic Regression | Machine Learning | Multi-Agent | Multi-Agent Systems | Neural Networks | PEFT | Pandas | Prompt engineering | PyTorch | Python | RAG | Random Forest | React | Recurrent Neural Networks | Retrieval-Augmented Generation | SQL | Scikit-learn | Support Vector Machines | TensorFlow | Transformers | Vector machines | Vertex AI | XGBoost
Education
Roles
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