Top 7 New Age Career Options

Both students and guardians are apprehensive about good career options and this article includes lucrative new-age career options and skills which will open new opportunities for job seekers. Five industries namely Gene Editing and Sequencing, Blockchain Technology, Artificial Intelligence - Neural Networks, Collaborative Robotics, Energy Storage - Battery Technology are rapidly growing. We all know that covid-19 abruptly disrupted the offline industry and accelerated the adoption of digitisation and automation across the industries. Therefore specialists like blockchain engineers, data scientists, AI, and ML scientists are in great demand.

Blockchain Engineer:

Blockchain is an emerging technology that has a distributed ledger that is hosted by a decentralised web of the computer instead of a single server. Therefore this technology provides a transparent, shared, and immutable way to store the information which can be related to tangible(like cash, car, house) or intangible (like copyrights, patents..) assets. Blockchain is a connected and growing list of records known as blocks, containing a cryptographic hash function of the previous blocks, transaction data, and a time stamp. As a block contains a hash of the previous block thus it is a chain of blocks and therefore in a long blockchain, it is almost nearly impossible to manipulate the block data retroactively as it requires altering the data of all subsequent blocks.

Skills Required

• A strong background in software development

• Command of programming languages like c++, Java, Javascript, and C#

• Algorithms and data structure knowledge

• The basic functioning of cryptography

• Familiar with peer-to-peer networks

• Experience with bitcoin and Ethereum technology

What Blockchain Engineers Do?

• For a blockchain project find high-quality material.

• Blockchain technology to design and develop applications.

• Testing and troubleshooting the blockchain-driven projects.

• Maintenance of front-end and backend applications.

• Evaluating blockchain applications.

How To Become A Blockchain Engineer?

• Firstly, understand its technical parameter and get a basic understanding of blockchain

• Have a basic understanding of the Blockchain hash functioning and its Architecture

• Good command of application and function of data structures and algorithms like the Merkle tree.

• Having an understanding of cryptography is highly crucial

• Develop Web development skills.

• You should be an expert in the primary programming languages like C++, Java, Python, Solidity, etc.

• Have in-depth knowledge of Blockchain platforms.

• Master the blockchain developing tools.

• You can get a certification blockchain Engineer

VR/AR/MR Developers

Virtual Reality (VR): It is a simulated experience operating either Virtual Reality (VR) headsets or multi-projected backgrounds to create realistic sounds, images, and other sensations during activities like video games, education, business, and many more to experience the virtual world. In virtual reality, an individual fully immersive digital experience.

Augmented Reality (AR): It is a perfect combination of the digital world and physical elements to develop an artificial environment. This individual remains in the physical world and experiences the virtual world.

Mixed Reality (MR): In mixed reality, physical and digital worlds co-exist and interact in real-time.

Skills Required For VR/AR/MR Developers

• Basic programming languages like C/C++/C#

• Understanding of software development kits (SDKs)

• 360° photos and videos

• 3D modeling or scanning

• 3D games engines

• Understanding of maths and geometry

• Improve experiences for users in 3D

Data Scientist

Data science is coupled with data mining, big data, and machine learning. Using scientific methods, systems, and algorithms, it extracts insights from noisy and amorphous data. It unifies different fields like statistics, mathematics, information science, domain knowledge, and computer science to extract quality information and knowledge from data.

A data scientist is someone who creates insight and visualises a large amount of unstructured data using programming language and combines it with mathematics and statistics knowledge.

Skills Required For Data Scientist

• Statistical analysis and computing

• Understanding of Machine Learning

• Knowledge of Deep Learning

• Understanding how to process large data sets

• Data Visualisation

• Data Wrangling

• Command on Mathematics

• Command on Programming like Python, Perl, C/C++, SQL, and Java

• Command on data analytical tools like SAS, Spark, Hive, Pig, and R

• Statistics and Probability

AI/ML Engineers

These days two terms are quietly popular, namely artificial intelligence(AI) and machine learning(ML). Let's understand them.

Artificial Intelligence(AI) is a computer science and engineering that helps to create intelligent machines which act or think like humans. It is used in different areas like the recommendation systems used by Amazon, Youtube, Netflix, etc. understanding human speech like Alexa and Siri, self-driving cars, and many more.

Machine learning(ML) is a technology that uses data sets and algorithms to build models of prediction and or decisions. It is a part of artificial intelligence. AI and ML are interlinked to each other and therefore both are used in product recommendation, self-driving cars, medical diagnosis, stock market trading, speech recognition, traffic prediction, automated language translation, and many more. Having a vast area of applications ML and AI are growing rapidly generating employment for job seekers.

Skills Required For AI/ML Engineers

• Programming languages like Python, C++, Java, Javascript, C#, R, Scala, etc

• Understanding of data engineering

• Command in Model development and algorithms

• Knowledge of AWS in deploying and security

• Understanding of Neural Networks

IoT Engineers / Designers

Internet of Things (IoT) is an affiliated integration of physical objects like vehicles, household appliances, wearables, and much more via the internet and can therefore transfer data online using embedded sensors. Having automation in operations can be an efficient process and therefore applications of IoT are growing rapidly and creating new opportunities for employment.

Skills Required For IoT Engineers/Designers

• Command on programming languages like Python, C++, JavaScript

• Knowledge of AI, ML, and Sensors

• Understanding of Netbeast, Neura, OpenSensors, Node.js with command Linux OS

Robotics

It is a branch of computer science and engineering and involves the integration of design, construction, and use of robots to help and assist humans.

Robots can be used in space exploration, security, entertainment, agriculture, health care, underwater exploration, manufacturing, military, customer service, and many more therefore robotics is a rising industry and creating a number of highly paid opportunities.

Gene Editing

In genetic engineering, DNA is modified, deleted, replaced, or inserted into the genome of a living organism. Now using technology we can edit genes by targeting specific locations.

Genome editing technology is used in different areas like curing genetic disease, agricultural breeding for desirable results such as disease resistance, drought tolerance, etc, and preparing different animal models. Having so many applications, it is a rapidly growing sector and causing new openings for job seekers.

Growing technology, pandemics like covid-19, terminal diseases, climate change, accelerating automation, transparency, security, and efficiency in business, and many more are making it necessary to come up with new solutions for a rapidly evolving industry like Blockchain, AI/ML, IoT, Gene editing, Robotics and thus generating new-age career options.