Software Engineer (AI/ML)
Tasks
- Apply prompt engineering
- Build and fine-tune large language models
- Build and use vector databases
- Conduct research on retrieval augmented generation
- Deploy ML models on cloud or on prem infrastructure
- Design generative AI models
- Develop Conversational AI applications
- Develop and deploy NLP algorithms
- Develop scalable AI solutions
- Evaluate model performance through testing
- Integrate NLP and generative AI into production pipelines
- Optimize model performance with hyperparameter tuning
- Perform text representation and feature engineering
Perks/Benefits
- Employee assistance program
- Group term life insurance
- Learning and development opportunities
- Maternity leave
- Medical insurance
- Paid sick leave
- Paid time off
- Paternity leave
- Provident fund and gratuity
- Wellness initiatives
- Work-life balance
Skills/Tech-stack
Attention Mechanisms | Distributed Computing | Domain Adaptation | Embeddings | Entity recognition | Hugging Face | Hyperparameter Tuning | Keras | LSTM | Langchain | Language Models | Language Processing | Large Language Models | Llama | MLOps | Model Deployment | NLTK | Named Entity Recognition | Natural Language | Natural Language Processing | NumPy | OpenAI GPT | Pandas | Prompt engineering | PySpark | PyTorch | Python | Retrieval-Augmented Generation | SciPy | Scikit-learn | Semantic Search | Sentiment Analysis | Sequence Modeling | Spacy | TensorFlow | Text Classification | Tokenization | Transfer Learning | Transformers | Vector Databases
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