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- Design, train, and deploy machine learning models for real-world applications.
- Implement NLP-based solutions, including Zero-Shot and Few-Shot classification algorithms.
- Apply TF-IDF, Word2Vec, and BERT for text-based processing tasks.
- Develop and fine-tune Generative AI models (OpenAI, LLaMA, etc. ) for business use cases.
- Work with ML algorithms (Linear Regression, Decision Trees, KNN, SVM, Random Forest, Logistic Regression, Bayesian models, etc. ).
- Build and manage RESTful APIs and microservices using Flask/FastAPI.
- Collaborate with product and business teams to translate requirements into scalable AI solutions.
- Manage data pipelines and integrate structured/unstructured data from MongoDB and MySQL.
- Use Git/Bitbucket for version control and best practices in collaborative coding.
- Support project management using JIRA/Asana.
- Bachelor's/Master's in Computer Science, Engineering, Mathematics, or Statistics.
- Certification in ML/Deep Learning/NLP preferred.
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