Data Science and Machine Learning

Role Overview: You will be responsible for utilizing your 6 to 8 years of relevant experience in data science and machine learning to implement validated approaches for scalability and productionalizing models. Your expertise in machine learning and statistical-analysis libraries, such as OpenCV, scikit-learn, Pandas, SciPy, NumPy, Matplotlib, etc., will be essential for working with expansive and diverse datasets. Additionally, familiarity with state-of-the-art cloud technologies like AWS, GCP, Kubernetes, and containers will be a definite advantage. Your area of expertise should include forecasting and basics of data engineering, and your inquisitive mindset and strong analytical skills will be crucial for solving complex problems and learning systems quickly. Key Responsibilities: - Utilize validated approaches for scale-ability and productionalizing models - Implement machine learning techniques on expansive and diverse datasets - Use machine learning and statistical-analysis libraries such as OpenCV, scikit-learn, Pandas, SciPy, NumPy, Matplotlib, etc. - Familiarize yourself with cloud technologies like AWS, GCP, Kubernetes, and containers - Specialize in forecasting and basics of data engineering - Demonstrate an inquisitive mindset and strong analytical skills for complex problem solving Qualifications Required: - 6 to 8 years of relevant experience in data science and machine learning - Proficiency in machine learning and statistical-analysis libraries - Familiarity with cloud technologies such as AWS, GCP, Kubernetes, and containers - Strong analytical skills and an inquisitive mindset for complex problem solving - Aptitude for learning systems quickly Additional Details of the Company: The hiring process for this position includes screening (HR Round), Technical Round 1, Technical Round 2, and Final HR Round. (Note: The position is already filled.) (Note: Relevant jobs in Software Development are available.) Role Overview: You will be responsible for utilizing your 6 to 8 years of relevant experience in data science and machine learning to implement validated approaches for scalability and productionalizing models. Your expertise in machine learning and statistical-analysis libraries, such as OpenCV, scikit-learn, Pandas, SciPy, NumPy, Matplotlib, etc., will be essential for working with expansive and diverse datasets. Additionally, familiarity with state-of-the-art cloud technologies like AWS, GCP, Kubernetes, and containers will be a definite advantage. Your area of expertise should include forecasting and basics of data engineering, and your inquisitive mindset and strong analytical skills will be crucial for solving complex problems and learning systems quickly. Key Responsibilities: - Utilize validated approaches for scale-ability and productionalizing models - Implement machine learning techniques on expansive and diverse datasets - Use machine learning and statistical-analysis libraries such as OpenCV, scikit-learn, Pandas, SciPy, NumPy, Matplotlib, etc. - Familiarize yourself with cloud technologies like AWS, GCP, Kubernetes, and containers - Specialize in forecasting and basics of data engineering - Demonstrate an inquisitive mindset and strong analytical skills for complex problem solving Qualifications Required: - 6 to 8 years of relevant experience in data science and machine learning - Proficiency in machine learning and statistical-analysis libraries - Familiarity with cloud technologies such as AWS, GCP, Kubernetes, and containers - Strong analytical skills and an inquisitive mindset for complex problem solving - Aptitude for learning systems quickly Additional Details of the Company: The hiring process for this position includes screening (HR Round), Technical Round 1, Technical Round 2, and Final HR Round. (Note: The position is already filled.) (Note: Relevant jobs in Software Development are available.)