Data Science and Machine Learning

As a Data Science and Machine Learning professional with 6 to 8 years of relevant experience, you will be expected to have knowledge of validated approaches for scalability, productionalizing models, and implementing machine learning on expansive and diverse datasets. Your role will involve using machine learning and statistical-analysis libraries such as OpenCV, scikit-learn, Pandas, SciPy, NumPy, Matplotlib, etc. Additionally, familiarity with state-of-the-art cloud technologies like AWS, GCP, Kubernetes, and containers will be a plus. Your area of expertise should include forecasting and basics of data engineering. An inquisitive mindset, strong analytical skills for complex problem-solving, and an aptitude for learning systems quickly will be essential for this role. **Key Responsibilities:** - Utilizing validated approaches for scalability and productionalizing models - Implementing machine learning on expansive and diverse datasets - Using machine learning and statistical-analysis libraries such as OpenCV, scikit-learn, Pandas, SciPy, NumPy, Matplotlib, etc. - Familiarity with cloud technologies like AWS, GCP, Kubernetes, and containers - Expertise in forecasting and basics of data engineering **Qualifications Required:** - AI/ML knowledge - Proficiency in libraries like OpenCV, Scikit-learn, Pandas, SciPy, NumPy, Matplotlib - Familiarity with cloud technologies such as AWS, GCP, Kubernetes In addition, the hiring process for this position includes screening (HR Round), Technical Round 1, Technical Round 2, and Final HR Round.,