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Job Location: Hyderabad/Secunderabad
Education
- Graduate degree in Computer Science, Engineering, Mathematics or equivalent, specializing in machine learning or a related field
Experience
- 2 to 6 years experience in developing the solutions leveraging AI technologies: Machine Learning, Deep Learning & NLP and putting them in production.
- The candidate should be proficient in
- Languages : Python and R (Python is must)
- Machine Learning & Deep Learning frameworks: sklearn, Tensorflow , keras, Pytorch (any 3)
- Time Series: ARIMA, SARIMA, FBProfet (any two)
- NLP: NLTK, Gensim, Spacy, Count Vectorizer, TF-IDF, Word2Vector and BERT (any 3)
- ML Ops, Kubernetes, Docker, Azure Devops and CI/CD Pipelines (good to have)
- API Framework: Fast API and Flask etc. (any one)
- BI : PowerBI, Grafana, Apache superset (any one)
- Experience in developing end-to-end models using machine learning for predictive modelling in a business/industry environment, i.e. feature engineering, model creation and evaluation
- Should be able to write clean, elegant and maintainable production-level code in Python and R, and experienced in version control, testing and refactoring
- Should have firm grasp and demonstrable experience on the principles of the model development lifecycle and producing machine learning models that stand up to statistical rigor
- Experience with designing, building, and optimizing data and model training pipelines
- Should be able to work constructively in a fast-paced, collaborative, matrixed team environment
- Should have strong work ethic and passion for excellence.
Basic Function
- This role is part of the Enterprise Architecture organization. Data Science Engineers will be involved in a variety of projects to incorporate Artificial Intelligence and Machine Learning technologies in various state-of-the art products and solutions within enterprise businesses.
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