Tech

How to start a career as artificial intelligence

New Delhi [India], July 21 (ANI / PNN): According to the World Economic Forum, 133 million new jobs will be created in the field of artificial intelligence (AI) by 2022.

Job demand and growth is projected in three key areas: data analysts and data scientists, AImachine learning specialists (including AI software engineers), and big data specialists.

At the peak of decision-intelligence companies, use software that embeds AI within organizations across sales, marketing, planning, and supply chains to transform decision-making. The company has grown rapidly in the last 12 months, expanding its teams in Jaipur (India) and the United Kingdom, as well as opening new offices in the United States and Pune (India). As a result, Peak is creating 150 new jobs worldwide this year, including roles in data science and AI software engineering.

Along with data science, AI software engineering is one of the hottest jobs in the AI ​​industry today. So what are the top five skills companies seek when hiring talent in AI software engineering? Whether it’s a graduate or a senior hire. Here is our list: 1. Backgrounds in quantitative fields such as physics, mathematics, and statistics: Starting with a strong quantitative background is often very helpful. A good intuition in mathematics and statistics is invaluable to practitioners working in AI. Those with strong core skills in these areas often find it much easier to stay ahead of innovation and build a career in this fast-paced sector. Koushik Kulkarni, Head of AI Engineering at Peak, said: AI software engineer. “2. Practical experience with algorithms, data architectures, and database systems: Building detailed, practical and theoretical commands for algorithms, data structures, design patterns, and product architecture design is a starting point for software engineers. The best place. It also applies to AI software engineers. Working as an AI software engineer means working with many databases and data processing technologies such as RDBMS and NoSQL databases, as well as a variety of “traditional” machine learning (ML) (flavor algorithms, data structures, design). Means pattern. After all, building an ML-based product requires a deep understanding of how to produce ML using both traditional and ML-specific software methods. Companies want you to master many of these skills as you progress through your career. Acquiring these core skills is important for building good data and ML products! 3. Knowledge of major programming languages: To work with AI, companies are looking for both coding and debugging skills in languages ​​such as R, JavaScript, Python and Go. Learning multiple languages ​​is always invaluable, as companies are looking for multiple skill sets in the agile industry.

4. Open and Ambitious: People with successful careers in AI software engineering are, of course, more open to innovative ideas and cutting-edge technologies. When it comes to innovation, it’s important to stay informed and stay ahead of the curve. If this happens naturally, we can stay ahead of the competition. Koushik said: “The problems we solve with Peak are complex, realistic customer problems that work with the ever-evolving, cutting-edge technology. This constant change is a great learning opportunity, lagging behind the latest technology. A very interesting and inspiring role to keep up with. ”5. Creative Problem Solving: Employers look for individuals with strong critical thinking and problem-solving skills, from the least inexperienced members of the team to the most advanced hires. People with strong problem-solving skills are invaluable and reliable members of any team. These are people who come up with new ideas, better ways, and help save customers time and money.

Engineers today are bridging the gap between traditional software engineering and the fast-paced world of AI. It takes a combination of hard and soft skills to stay ahead and build a career in this high-profile sector. Ideally, both require multiple skill sets. If you have those skills, your future in this high-growth sector will be secured for decades to come.

Peak is a decision-making intelligence company that helps the smartest companies in the world make good commercial decisions. Peak’s pioneering software platform embeds AI throughout sales, marketing, planning and supply chains to transform decision making and accelerate revenue, profit and sustainability. Headquartered in Manchester (UK), Peak’s customer base includes Nike, KFC, PepsiCo, Marshall and Speedy Hire.

Peak customers are seeing the consequences of transformation, including a 5% increase in the company’s total revenue, a double in return on advertising, a 12% reduction in inventories, and a 5% reduction in supply chain costs. I will.

Peak was named Gartner’s “Cool Vendor” by retail AI. In addition, we received a 3-star certification from the best company that recognizes world-class employee engagement, and were selected as the best mid-size company to work in 2021. Peak is affiliated with Amazon Web Services (AWS) Advanced Technology and is ISO27001 certified.

This story is provided by PNN. ANI is not responsible for the content of this article. (ANI / PNN)

How to start a career as artificial intelligence

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