We successfully made it through 2020 and 2021 is finally upon us. While some things, like the way businesses operate, have changed drastically, others remain the same. In the current times, companies are increasingly going online and operating with newer tech solutions to keep up with the changes that the pandemic has brought about in the market.
Companies across the world are adopting Data Science and Machine Learning to understand complex business problems, extract meaningful insights and formulate ways to resolve them. They’re being used across several sectors and for diverse use cases. These can be anything from banking & finance departments using machine learning algorithms to identify forged signatures to supply chain and manufacturing companies using it for smarter inventory management. In the same vein, airline companies are using data science to map flight delay and develop loyalty programs, and the gaming industry is applying it to improve gaming models based on insights.
It is no wonder then that the jobs that require these skills are booming by the year. According to a recent LinkedIn report hiring for the roles of Data Scientist, Data Science Specialist, Data Management Analyst has gone up by 49% since 2019. The same report states that hiring for the roles of Machine Learning Engineer and Machine Learning Researcher grew 32% from 2019 to 2020. This makes them some of the fastest-growing, in-demand jobs of the past year and the next few years to come.
These job roles offer some of the highest salaries. Therefore, many engineering graduates in India are interested to pursue their M. tech in Data Science and Machine Learning. The salary scale in this domain ranges from Rs 4 Lakhs per annum to Rs 25 Lakhs per annum, considering various factors. In India, the average pay scale of a Data Scientist is estimated to be Rs 7 Lakhs per annum. Hence the incredible demand. Check out all the lucrative roles you can bag with these skills:
1. Data Analyst
As a data analyst, you will be responsible for various tasks, including visualisation, munging and processing of massive amounts of data. You will also have to perform queries on the databases from time to time. One of the most important skills to gain for you, as a data analyst would be optimisation. This is because you will have to create and modify algorithms that can be used to cull information from some of the biggest databases without corrupting the data.
2. Data Engineers
As a Data Engineer, you build and test scalable Big Data ecosystems for the businesses so that the data scientists can run their algorithms on the data systems that are stable and highly optimised. You will also update the existing systems with newer or upgraded versions of the current technologies to improve the efficiency of the databases.
3. Database Administrator
Your job profile is pretty much self-explanatory: You will be responsible for the proper functioning of all the databases of an enterprise and grant or revoke its services to the employees of the company depending on your requirements. You will also be responsible for database backups and recoveries.
4. Machine Learning Engineer
As a Machine Learning Engineer, you will be in high demand today. However, the job profile comes with its challenges. Apart from having in-depth knowledge in some of the most powerful technologies such as SQL, REST APIs, etc., you would also be expected to perform A/B testing, build data pipelines, and implement common machine learning algorithms such as classification, clustering, etc.
5. Data Scientist
You have to understand the challenges of business and offer the best solutions using data analysis and data processing. For instance, you are expected to perform predictive analysis and run a fine-toothed comb through an “unstructured/disorganised” data to offer actionable insights. You could also do this by identifying trends and patterns that can help the companies in making better decisions.
6. Data Architect
As a Data Architect, you create the blueprints for data management so that the databases can be easily integrated, centralised, and protected with the best security measures. You must also ensure that the Data Engineers have the best tools and systems to work with. Some other related job roles worth mentioning include Statistician, Business analyst, Data and Analytics Manager.
For those who’d love to upskill, Great Learning has emerged as one of India’s leading professional learning services with a footprint in 140 countries and has delivered 55 million+ learning hours. With a curriculum formulated by industry experts, their programs have helped learners successfully transition to new domains and grow in their fields. They offer courses on some of the hottest topics of today – Data Science and Machine Learning, Artificial Intelligence etc.
The M.Tech in Data Science and Machine Learning program is being offered in collaboration with Karnataka’s #1 university (*KSURF) PES, Bengaluru. This has become one of the most sought-after courses among professionals for the following reasons:
- This 2-year program offers weekend-classroom learning at the PES University Campus, so working professionals can upskill while they continue to work.
- World-class faculty: The faculty are alumni of reputed colleges like Stanford, Penn State University, UPMC etc. They actively engage in live sessions and mentor learners through their projects.
- Topics covered: Some of the market’s hottest languages and tools like Python, Tableau, SQL, Hadoop, TensorFlow, Spark, Kafka and more are covered in the course
- M.Tech Thesis & Capstone project – Learners will have to work on an M.Tech Thesis and an intensive capstone project that will help them build practical skills to solve real-world problems.
- 1:1 mentorship from experts – Professionals will be guided by mentors through their learning journey
- Course completion degree and Career support – Learners get an M.Tech degree from PES University and 360 degree dedicated career support.
Great Learning supports professionals in their efforts to power ahead in their career with their career services platform – GL Excelerate. More than 400 companies share their job opportunities with Great Learning, and 2/3rd of their learners have already made a career transition within 6 months of course completion. They have already enabled a career transition of 25,000+ professionals till now and have become a dependable brand for career success. So, enrol for their courses today and build a rewarding career.
Know more about the program.
Disclaimer: This article has been produced on behalf of Great Learning by Times Internet’s Spotlight team.
Published at Tue, 19 Jan 2021 06:33:45 +0000
Integrated with SkyGrid’s airspace management system, AerialOS™, the DeepArmor product can be deployed directly on drone hardware to function even when network connectivity is impaired or non-existent. The AI protection defends drones from zero-day attacks by leveraging models trained on the DNA of malicious files instead of relying on a signature database.
SparkCognition and SkyGrid showcased the DeepArmor product’s drone protection in a recent demonstration: https://youtu.be/syX_NevNJX0
“We leveraged cutting-edge AI research and technology to build the DeepArmor product, which allows it to protect endpoints against 99.9% of never-before-seen threats,” said Sridhar Sudarsan, Chief Technology Officer at SparkCognition. “In addition, the product’s uniqueness lies in its ability to provide top-rate endpoint protection on the lowest footprint with minimal interference – all in varying degrees of connectivity. This is the true overarching security differentiator from which SkyGrid’s customers will see value.”
The DeepArmor product suite leverages SparkCognition’s patented machine learning technology combined with a defense in depth mantra to provide multiple layers of protection on an endpoint – instead of using known signatures, heuristics, or rules-based approaches. The software protects a wide range of endpoints, with its most recent addition to the product suite, DeepArmor Industrial, launched in collaboration with Siemens Energy and designed to protect operational technology assets across the energy value chain.
SparkCognition’s AI-first approach to cybersecurity and the DeepArmor product’s advanced threat detection models have been validated by multiple awards, including 2020 Cyber Defense Magazine’s award for best endpoint security and CRN’s 2020 Security 100 List.
SkyGrid, a Boeing, SparkCognition company, is powering the next generation of aviation. As the only airspace management system built on AI and blockchain, SkyGrid is solving the industry’s biggest challenges integrating unmanned aircraft in the global airspace and executing autonomous operations. SkyGrid’s AerialOS™ monitors, predicts, and adapts to changes in airspace traffic, environmental conditions, and vehicle health to intelligently route, synchronize, and manage unmanned aircraft. Based in Austin, Texas, SkyGrid is enabling a wide variety of commercial drone operations from package delivery to emergency assistance. For more information, visit skygrid.com, LinkedIn, or Twitter.
SparkCognition catalyzes sustainable growth for their clients throughout the world with proven artificial intelligence (AI) systems, award-winning machine learning technology, and a multinational team of AI thought-leaders. Clients are trusted with advancing lives, infrastructure, sustainability, and financial systems across the globe. They partner with SparkCognition to understand their industry’s most pressing challenges, analyze complex data, empower decision-making, and transform human and industrial productivity. With leading-edge artificial intelligence products—Darwin®️, DeepArmor ®️, SparkPredict ®️, and DeepNLPTM—SparkCognition’s clients can adapt to a rapidly changing digital landscape and accelerate their business strategies. To learn more about how SparkCognition’s AI applications can unlock the power in your data, visit www.sparkcognition.com.
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Published at Tue, 19 Jan 2021 06:00:00 +0000