TRQ26-0987-01-Data Scientist - Data & AI Practice
Tasks
- Apply advanced analytics for optimization and simulation
- Communicate insights to technical and non-technical audiences
- Conduct code reviews
- Deploy machine learning models to production
- Design machine learning models
- Develop model templates and prompt libraries
- Develop reusable feature engineering pipelines
- Integrate generative AI solutions
- Lead client engagements and demo PoCs
- Lead hypothesis-driven experimentation
- Mentor junior data scientists
- Operationalize models with MLOps
- Perform feature engineering and model evaluation
- Support pre sales solutioning and proposals
- Translate business needs into analytical frameworks
- Tune prompts for LLM use cases
Perks/Benefits
- N/A
Skills/Tech-stack
Cloud Computing | Embeddings | Generative AI | LLMOps | Language Models | Large Language Models | MLOps | Machine Learning | Model Monitoring | Model versioning | Optimization | Prompt engineering | PyTorch | Python | R | RAG | Retrieval-Augmented Generation | Scikit-learn | Simulation | Spark | Statistical modeling | TensorFlow | Vector Databases
Education
Roles
Data Scientist | Lead | Lead Data | Lead Data Scientist | Scientist
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