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Responsibilities:
Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models.
Transforming data science prototypes and applying appropriate ML algorithms and tools.
Ensuring that algorithms generate accurate user recommendations.
Turning unstructured data into useful information by auto-tagging images and text-to-speech conversions.
Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.
Developing ML algorithms to analyze huge volumes of historical data to make predictions.
Running tests, performing statistical analysis, and interpreting test results.
Prepare technical documentation
Keeps up to speed with the state of the art of academic research and technology in the industry
Writing and testing code for Data & Analytics applications and building E2E cloud native (Azure) solutions
Collaborate with internal technical specialists and with vendors to develop final product to improve overall performance, efficiency and/or to enable adaptation of new business process
Requirements:
Strong technical background of different machine learning algorithms
Strong project management and business development skills
Communication & documentation skills
Problem solving skills
Analytical skills
Conceptual thinking skills
Integration - joining people, processes or systems
Excellent Python programming skills, experience with Python testing frameworks and Grpc library
Understanding of virtualization technologies such as Containers, Virtual Machines, Orchestrators, virtual networks
A deep understanding and multi-process architecture and the threading limitations of Python
Excellent understanding of OOP, n-tier architecture and design patterns
Good Knowledge in Docker , kubernates and can deal with Microservices
Excellent verbal and writing skills
Detailed knowledge of autonomous driving and software technologies
Strong attention to detail.
Date Posted: 14/11/2024
Job ID: 100328271