
Senior Data Scientist
2 days ago
Our ideal candidate has a strong foundation in machine learning and software development, with experience in designing and deploying scalable models. They will collaborate with cross-functional teams to drive business growth through innovative solutions.
Key Responsibilities:
- Design, develop, and deploy machine learning models and pipelines for production-scale applications.
- Implement NLP solutions using algorithms such as TF-IDF, Word2Vec, BERT, Zero-Shot and Few-Shot learning techniques.
- Apply Generative AI models to solve real-world business problems.
- Collaborate with cross-functional teams to translate business requirements into technical solutions.
Required Skills & Qualifications:
- Bachelor's/Master's in Computer Science, Engineering, Mathematics, or Statistics.
- ML/Deep Learning/NLP Certification preferred.
Technical Expertise (Must-Have):
- Programming: Python (DSA)
- Machine Learning & Statistics: Strong knowledge of algorithms (Linear Regression, Decision Trees, KNN, SVM, Random Forest, Logistic Regression, Bayesian methods, Mean-based approaches)
- NLP: Zero-shot, Few-shot classification, TF-IDF, Word2Vec, BERT
- Databases: MongoDB & MySQL
- Version Control: Git, Bitbucket
Growth Opportunities Await You
Be part of an innovative work culture that values collaboration, creativity, and continuous learning.
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