Senior Data Scientist
Tasks
- Analyze and preprocess data
- Build generative AI and LLM applications
- Collaborate with stakeholders on requirements
- Deploy models using ML pipelines
- Design ML NLP models
- Develop ML assets
- Develop RAG pipelines
- Implement MLOps practices
- Propose AI/ML solutions
Perks/Benefits
- Career growth programs
- Certification support
- Flexible work hours
- Health work-life balance
- Remote work
Skills/Tech-stack
AWS | Azure | Cassandra | Classification | Cloud platform | Clustering | Computer Vision | Convolutional Neural Networks | Deep learning | Dimensionality Reduction | Ensemble learning | Entity recognition | Generative AI | Google Cloud | Google Cloud Platform | H2O | Langchain | Language Models | Language Processing | Large Language Models | Llama | Long Short | Long Short-Term Memory | MLOps | Machine Learning | Machine Learning Pipelines | Matplotlib | MongoDB | MySQL | Named Entity Recognition | Natural Language | Natural Language Processing | Neural Networks | NumPy | OpenAI GPT | Optical character recognition | Oracle | Pandas | Power BI | PyTorch | Python | Recommendation Systems | Recurrent Neural Networks | Regression | Retrieval-Augmented Generation | SQL | Scikit-learn | Seaborn | Sentiment Analysis | Short Term Memory | Spark | Speech Recognition | Tableau | TensorFlow | Text Classification | Vector Databases
Education
N/A
Roles
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