Data Science and Machine Learning

You have 6-8 years of relevant experience in Data Science and Machine Learning. You should have knowledge of validated approaches for scalability, productionalizing models, and implementing machine learning on expansive and diverse datasets. You must be an experienced user of machine learning and statistical-analysis libraries such as OpenCV, scikit-learn, Pandas, SciPy, NumPy, and Matplotlib. Familiarity with state-of-the-art cloud technologies like AWS, GCP, Kubernetes, and containers is a plus. Your area of expertise should be in forecasting and basics of data engineering. An inquisitive mindset, strong analytical skills for complex problem-solving, and an aptitude for learning systems quickly are required. The required skills for this position include expertise in AI/ML, libraries such as OpenCV, scikit-learn, Pandas, SciPy, NumPy, and Matplotlib, as well as knowledge of cloud technologies like AWS, GCP, and Kubernetes. Our hiring process consists of screening (HR Round), Technical Round 1, Technical Round 2, and Final HR Round. This position has been filled.,