Responsibilities:
- Design, build, and deploy machine learning and deep learning models for production use.
- Work with Python libraries such as NumPy, pandas, scikit-learn, spaCy, and Hugging Face Transformers.
- Utilize TensorFlow, PyTorch, or equivalent frameworks for developing advanced AI solutions.
- Perform data preprocessing, model evaluation, and optimization for maximum accuracy and performance.
- Deploy and test ML/DL models on target platforms with end-to-end validation.
- Explore prompt engineering and fine-tuning transformer-based LLMs for real-world applications.
- Collaborate cross-functionally and communicate technical insights effectively to non-technical stakeholders.
Required Skills & Qualifications:
- 3 - 6 years of experience in Data Science, Machine Learning, or NLP roles.
- Strong programming skills in Python and hands-on experience with ML frameworks.
- Familiarity with TensorFlow, PyTorch, and modern NLP techniques.
- Solid understanding of data analysis, feature engineering, and statistical modeling.
- Strong analytical thinking and excellent communication skills
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