Data Analyst - B

You will be working as a hands-on engineer, developing new features and fixing bugs for an internal machine learning model that identifies errors in vehicle telematics. You will be part of an Agile scrum team, collaborating on various modules or subsystems of the test framework. As an expert in Python, you will utilize your knowledge in popular machine learning libraries and frameworks such as TensorFlow, Keras, and scikit-learn. Your proficiency in clustering algorithms like K-means and hierarchical clustering will enable you to group similar data points effectively. Additionally, your expertise in classification algorithms such as decision trees, support vector machines, and random forests will be crucial for tasks like image recognition, natural language processing, and recommendation systems. Your experience with databases, both relational and non-relational like MySQL, along with your ability to design database schemas and optimize queries, will contribute to efficient data retrieval. Strong knowledge in Object-Oriented Analysis and Design, Multi-threading, Multi-process handling, and Memory management will be essential for the role. You should also have a good understanding of model evaluation metrics and techniques, as well as experience in deploying machine learning models to production environments. Being a part of an Agile scrum team, you should be proficient in using version control systems like Git for collaborative development. Desired skills include knowledge of RESTful API design, experience in developing web applications using Flask or Dash, and familiarity with automotive communication protocols like SOME-IP, CAN, Flexray, MOST, and Ethernet. Excellent communication skills are a must-have for this role.,