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Data Scientist
Skills
JavascriptAmazon Web ServicesLarge Language ModelsMachine LearningNatural Language ProcessingPytorchPython
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Cloud infrastructure skills (AWS: EC2, S3, Lambda, RDS, DynamoDB)
- Proficiency in Python (libraries: NumPy, Pandas, scikit-learn)
- JavaScript for frontend development (frameworks: React or Vue.js)
- NLP expertise: text preprocessing, entity recognition, language modeling
- Experience with agentic frameworks, RAG workflows, and prompt engineering
- Proficiency in ML frameworks (PyTorch, HuggingFace)
- Hands-on experience with LLMs (GPT-3, GPT-4) and their integration
- Practical experience in deploying LLM-based applications in production
Nice to have
- Creativity
- Flexibility
- Integrity
- Experience
- Honesty
- Humanity
- Passion for excellence
Day to day
- Develop an AI code generation platform to enhance productivity and ensure code consistency.
- Utilize AWS for scalability, security, and reliability.
- Build AI and ML models, and develop data processing pipelines and backend services.