Short Description

•              Expert knowledge in Python

•              Expert knowledge in popular machine learning libraries and frameworks, such as TensorFlow, Keras, scikit-learn.

•              Proficient understanding and application of clustering algorithms (e.g., K-means, hierarchical clustering) for grouping similar data points.

•              Expertise in classification algorithms (e.g., decision trees, support vector machines, random forests) for tasks such as image recognition, natural language processing, and recommendation systems.

•              Proficiency in working with databases, both relational and non-relational like MySQL with experience in designing database schemas and optimizing queries for efficient data retrieval.

•              Strong knowledge in areas like Object Oriented Analysis and Design, Multi-threading, Multi process handling and Memory management.

•              Good knowledge model evaluation metrics and techniques.

•              Experience in deploying machine learning models to production environments.

•              Currently working in an Agile scrum team and proficient in using version control systems (e.g., Git) for collaborative development. 

Qualifications

• Bachelor’s degree in Computer Science/Electronics & Communication/Electrical Engineering or in a relevant stream.

Job Responsibilities

•              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 working in an Agile scrum team working on different modules or subsystems of the test framework