ML and Analytics Engineer Job Responsibilities: Designing and developing Big data, Machine learning and deep learning systems. Running machine learning tests and experiments, Implementing appropriate ML algorithms. Study and transform data science prototypes. Design machine learning systems. Research and implement appropriate ML algorithms and tools. Develop machine learning applications according to requirements. Select appropriate datasets and data representation methods. Run machine learning tests and experiments. Perform statistical analysis and fine-tuning using test results. Train and retrain systems when necessary. Extend existing ML libraries and frameworks. Keep abreast of developments in the field. ML and Analytics Engineer Qualifications / Skills: Proven experience as a Machine Learning Engineer or similar role. Understanding of data structures, data modelling and software architecture. Deep knowledge of Statistics, Math, Probability. Ability to write robust code and API in Python, Java and R. Familiarity with Machine Learning frameworks (like Tensorflow, Keras or PyTorch) and libraries. Database tools, MySql, MangoDB, Microsoft SQL Server, MLDB, Hadoob, Hive