LR106 AI ML Software Developer II

$70.61

AI ML Software Developer II, Cloud Computing Technologies Agile Development Labor Rate is capable of designing, developing, and implementing excellent self-learning computer systems. Explore and analyze data to gain adequate understanding with the aim of identifying differences or defects in data distribution that could affect performance after real world deployment of AI and ML applications or systems.

SKU: LR106 Category:

AI ML Software Developer II, Cloud Computing Technologies Agile Development Labor Rate is capable of designing, developing, and implementing excellent self-learning computer systems. Research, design, and implement efficient machine learning and deep learning algorithms and tools that enhance organizational efficiency and business operation. Develop automated systems that enhance user experience across the different department of the organization. Stay up-to-date with latest development in machine learning and artificial intelligence fields. Capable of understanding organizational objectives and developing artificial intelligence models to accomplish them, as well as developing programs to monitor their progress and test their effectiveness. Able to meet deadlines and work with the planned budgets in achieving the aims and objectives of the organization. May have bachelor’s degree or any relevant certifications in technical fields such as engineering, artificial intelligence and machine learning, computer science, computer engineering, mathematics, physics, software development, and so on. AI ML Software Developer II is proficient in computer programming languages and relational databases programming languages such as Java, SQL, MySQL, Python, R, C, C++, Perl, Metlab, LISP, and so on. May have 6-10 years of experience in this field with at least one year of satisfactory experience in a relevant organization or government department as an AI ML Software Developer. Possesses a strong knowledge of data science, data structure, data analytics, software development, statistics, and data modeling. Have the ability to hold onto and secure intelligence information. Use its knowledge of data science to source for relevant information that will guide organizational decision throughout the research and production phases. Explore and analyze data to gain adequate understanding with the aim of identifying differences or defects in data distribution that could affect performance after real world deployment. Capable of working with other members of the AI ML Software development team in building responsive AL and ML algorithms and applications that make organizational processes easier, faster, and more efficient. Works under supervision of the Senior AI ML Software Developer.

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Cloud Computing Technologies

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