Career Roadmap: Key Job Titles for Experienced IT Professionals

Career Roadmap: These five job titles will help young professionals identify the most enterprising opportunities within the AI industry

AI has been the most exciting chapter in the wheel of innovations during the modern-age industrial era. It has not only enabled businesses to build a powerful infrastructure around various technologies but also transformed the way these businesses hire workforce. In recent years, businesses are particularly hiring for AI skills to manage key areas in the organization, largely related to IT Operations, Marketing, Sales and Customer Service. Today, careers in AI are related to meet the demands of digitally-transformed industries that already use SaaS, DaaS, and Cloud.

LinkedIn reported fifteen top tech-based job titles in the US IT industry for 2019. Almost 50% dealt with AI ML and advanced analytics skills. Simply put, these titles were crafted as the ‘most in-demand skills’ in the IT industry. It’s nothing different for other developed and developing countries where IT contributes a formidable revenue to GDP.

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According to a popular online job search website, the demand for AI skills has nearly doubled in the last three years, even as vacancies for these roles largely go unfulfilled. Today, AI-driven enterprises are increasingly hiring for various types of skills that can complement their advanced technologies. These include managerial and product development teams for Cloud-based IoT solutions, Edge computing, Connected Devices, Quantum Computing, Risk Detection, MarTech, SalesTech, and Incident Response Analytics. The list continues to grow as AI proliferates deeper and wider into the advanced Cloud-based companies.

Read these five job titles that will help young professionals identify the most enterprising opportunities within the AI industry.

BI Analyst

AI is the new BI for analysts. Young IT professionals can apply for AI-based jobs in the BI industry. The entry-level titles belong to Advanced BI developers. This role involves the analysis of complex data sets using AI ML algorithms. Experience in data warehouse configuration, IT design, data mining, SQL queries, and SQL Server Integration Services is highly useful.

Here is a snapshot of the skills required to fill the role of an Advanced BI Analyst.

• Definitive industrial knowledge in AI ML data wrangling
• Technical fluency in Knowledge Representation and Reasoning (KRR), Natural Language Processing (NLP), speech recognition, Computer vision and/or Machine Learning/ AI and Deep Learning/complex algorithms
• Experience in using Python, R, SAS or any other statistical software (plus other open-source libraries)
• Ability to handle Shell/PERL (or similar scripting language), Scala and Java

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Big Data Manager

Large-sized MNCs are continuously hiring for Senior Data Engineers and Big Data Managers to manage their various IT Operations. In this rapidly changing IT modernization, Big Data Engineer roles offer a prized entry into the league of dominating the AI ecosystem. A credible knowledge and certification on Data Analytics, Machine Learning, R, Python, Spark, Hadoop, .Net, MS Azure & SQL and BI software is required. Experience in testing of analytical models with multiple datasets and validate outcome is an added advantage.

Here is a sample Job Description of a Big Data Manager position offered at Accenture.

Machine Learning Engineer

Machine Learning Engineers can also apply for the role of Data Science Engineer. Basic skill sets include working in complex IT and Networking. Knowledge of TensorFlow, SAP HANA and Image Processing help to make further inroads into the AI ML Engineering domain. Most jobs require candidates who can write codes in Python, R, and other ML-friendly Open-Source programming languages. Projects include Machine Learning modeling and testing for clients that provide technology platforms — BI Software, Marketing Technologies, Cloud Support, Social Media Intelligence, and Big Data Analytics.

Here is a list of job openings for IT  professionals seeking Machine Learning Engineer profiles in NY, USA.

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Advanced IT Risk Analyst 

As businesses move to Cloud-centric infrastructure, data is always at the risk of a breach. IT Risk Analysts are hired to not only manage day-to-day operations but also prevent and prescribe best-in-class solutions to save companies billions lost due to downtime.

Risk Analysts, also referred to as Risk Managers, are a highly sophisticated set of professionals in the modern business scenario. These professionals are involved in identifying, analyzing, forecasting and preventing various financial risks involved in financial operations, and investments. Risk Managers are mostly hired by banks and investment firms, but blockchain has opened new avenues in other sectors as well. Today, Risk Analysts are mushrooming all over the IT domain, helping Cloud providers to facilitate identification, assessment, and prioritization of various threats, opportunities, and issues within the network.

Companies providing products and services in areas such as Network Security, Identity Resolution, Threat Detection, Malware Risk Mitigation, and Cloud Computing Restructuring hire IT Risk Analysts with experience in AI ML sciences.

Here is a sample job description of IT Risk Analyst.

Companies that hire top IT talent range from startups like StackState to tech giants like BMC Software, Dell EMC, and IBM. These are the leading employers who hired top IT talent in recent months:

• Amazon
• Suzlon
• HP
• NVIDIA
• Microsoft
• IBM
• Accenture
• Facebook
• Intel
• Samsung
• Lenovo
• Adobe
• MoTek Technologies
• Uber
• PCO Innovation
• Rakuten Marketing
• Wells Fargo
• Google AI
• Salesforce
• Looker
• HG Insights
• Tesla
• Microsoft

So, get started and subscribe to our Newsletter and Blogs to stay on the course of your ‘career roadmap’. 

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