Sr.Data Scientist
Tasks
- Apply supervised and unsupervised learning
- Build LLM-powered workflows
- Build feature engineering pipelines
- Collaborate on data pipelines with data engineering
- Communicate model outcomes and recommendations
- Create embeddings workflows
- Deploy machine learning models
- Deploy models on cloud platforms
- Design machine learning models
- Develop deep learning models
- Develop natural language processing models
- Develop production ready scalable AI solutions
- Implement vector database search and retrieval
- Monitor and optimize models in production
- Perform exploratory data analysis
- Train machine learning models
- Translate business problems into data science solutions
- Validate machine learning models
Perks/Benefits
Skills/Tech-stack
BERT | Classification | Clustering | Data Analysis | Data Quality | Embeddings | Exploratory Data Analysis | Faiss | Feature Engineering | Huggingface | Langchain | Language Models | Language Processing | Large Language Models | Model Governance | Natural Language | Natural Language Processing | NumPy | Pandas | PyTorch | Python | Regression | SQL | Scikit-learn | TensorFlow | Time Series | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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