How to start working as an AI software engineer in 2021

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According to the World Economic Forum, by 2022, Artificial Intelligence (AI) will generate 133 million new jobs. Job demand and growth are forecast in three key areas: data analysts and data scientists, artificial intelligence and machine learning specialists (including AI software engineers), and big data specialists.

Peak is the Decision Intelligence Company, providing software that integrates artificial intelligence into an organization’s sales, marketing, planning, and supply chain functions, enabling organisations to transform their decision-making. The company has experienced rapid growth over the last 12 months, with new offices scheduled to open in the United States of America and Pune, India, in addition to expanding its Jaipur, India, and United Kingdom teams. As a result, Peak is adding 150 new jobs globally this year, including data science and artificial intelligence software engineering positions.

Along with data science, one of the most high-profile jobs in the AI industry today is AI software engineering. Thus, what are the top five skills that employers seek when hiring AI software engineering talent – whether as a graduate or a senior hire?

Use the following way to discover more:

A quantitative background, such as physics, mathematics, or statistics:

Beginning with a strong quantitative foundation is frequently extremely beneficial: an intuitive grasp of mathematics and statistics is invaluable for practitioners working in artificial intelligence. Individuals with strong core competencies in these areas frequently find it much easier to stay ahead of innovations and advance their careers in this fast-paced sector. As Koushik Kulkarni (Head of AI Engineering at Peak) puts it, “if you cultivate some fundamental skills in mathematics and statistics, along with a dash of computer science,” you should find it easier to begin your career as an AI software engineer.

Experiential knowledge of algorithms, data architecture, and database systems:

Developing an in-depth practical and theoretical understanding of algorithms, data structures, design patterns, and product architectural design is an excellent place for any software engineer to begin, and the same is true for AI software engineers. As an AI software engineer, you will work with a variety of database and data processing technologies, including relational database management systems (RDBMS) and noSQL databases, as well as a variety of ‘traditional’ and Machine Learning (ML)-inspired algorithms, data structures, and design patterns. After all, developing machine learning-based products necessitates a thorough understanding of how to productionize machine learning using both conventional and machine learning-specific software practises. Companies will expect you to develop a variety of these skills as you advance in your career. Having these fundamental skills in place is critical for developing high-quality data and machine learning products!

Employers seek candidates with both coding and debugging skills in key programming languages such as R, JavaScript, Python, and Go. Learning multiple languages will always be beneficial, as businesses seek diverse skill sets in an agile industry.

Discreet and determined:

Individuals who have achieved success in the field of artificial intelligence software engineering are naturally more receptive to novel ideas and cutting-edge technologies. It is critical to stay informed and ahead of the curve when it comes to technological innovation, and if this comes naturally to you, you will gain an advantage over your competitors. As Koushik puts it, “the problems we solve at Peak are complex, real-world customer problems that require collaboration with cutting-edge, constantly evolving technology.” This constant change provides an incredible learning opportunity, and staying current on the latest technology keeps this role interesting and exciting.”

Solving problems in novel ways:

Employers seek individuals with strong critical thinking and problem-solving abilities at all levels of the organisation, from the least experienced team members to the most senior hires. Individuals with strong problem-solving abilities are invaluable and trusted members of any team – these are the individuals who generate new ideas, improve existing processes, and make it easier for their customers to save time and money.

Conclusion:

Today’s engineers are bridging the divide between traditional software engineering and the fast-paced world of artificial intelligence. Maintaining a competitive edge and developing a career in this high-profile sector requires a blend of hard technical and soft skills – ideally with multiple skill sets in both. If you possess those skills, you will have a secure future in this high-growth sector for decades to come.

Peak is a Decision Intelligence company that enables the world’s smartest businesses to make better commercial decisions. Peak’s ground-breaking software platform integrates artificial intelligence (AI) into sales, marketing, planning, and supply chains, transforming decision-making and accelerating revenue, profit, and sustainability. Peak’s customer base includes Nike, KFC, PepsiCo, Marshalls, and Speedy Hire.

Peak’s customers have seen transformative results, including a 5% increase in total company revenue, a doubling of return on advertising spend, a 13% decrease in inventory holdings, and a 5% decrease in supply chain costs.

Peak was named a Gartner ‘Cool Vendor’ in the area of artificial intelligence in retail and was also recognised with the Best Companies 3-star accreditation, which recognises world-class levels of employee engagement, in The Best Mid-Sized Companies to Work For 2021. Peak is certified to ISO 27001 and is partnered with Amazon Web Services (AWS) Advanced Technology.

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(Only the headline, some content and picture of this report may have been reworked by the Mixpoint Team; the rest of the content is auto-generated from a syndicated feed. The meaning of the content has not been altered in any way.)

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