Whenever we hear the word Artificial Intelligence (AI) and Machine Learning (ML), automation, expert systems, speech recognition, digital assistants, smart devices, chatbots, self-driving cars and robots is what majorly hits our mind. In recent years, these technologies have procured so much popularity and traction because of late innovations in the domain and will likely to see continuous evolution in the coming era.
Apart from a degree in a relevant field, aspirants must be proficient in both technical and non-technical skills to start a professional career in Artificial Intelligence and Machine Learning domain. They should master in technical skills such as:
- Programming languages like R, Python, Java, and C++
- Statistics, Linear Algebra and Calculus
- Natural Language Processing (NLP)
- Neural Network Architectures
And also non-technical skills such as:
- Industrial Knowledge
- Effective Communication
- Analytical and Problem Solving Skills
- Creative Thinking
To meet the rising demands of digitally transformed industries, the careers in AI and ML have seen an exponential growth, which raises the need for top tech talent with the necessary skills. In the forthcoming years, this field is estimated to pave way for millions of opportunities and can give your career an overhaul. So, if you are looking forward to procuring a job in the industry, be assured that there are many remarkable and viable opportunities for you.
Here we have shed a light on some of the most in-demand careers in AI and Machine Learning:
1. Machine Learning Engineers:
It is among the most sought after jobs in AI and Machine Learning. If found suitable for the position, the candidates are recruited promptly for operations. These jobs are well suited for individuals who have a base in applied research, data science, and have a grasp on manifold programming languages. Majority job openings also require aspirants to be excelled in machine learning, deep learning, and neural networks.
To get consideration, entrants must corroborate an in-depth practical knowledge of modern languages such as:
Working knowledge of tools like IntelliJ, Eclipse and more are also necessary to become a skilled Machine Learning Engineer.
2. Data Scientists:
Data Scientists are largely responsible for efficiently collecting, analyzing, and interpreting sizable and complex datasets by using Machine Learning practises. To become a Data Scientist, individuals should have a deep understanding of the data itself. They should also be capable of developing algorithms that enable collection and filtering of data for analysis purposes where techniques such as regression, predictive analytics and more are applied.
Data scientists must be highly skilful in statistical computing and programming languages such as:
Aspirants looking forward to pursuing a career need to be confident with big data tools and platforms like Hive, Hadoop, MapReduce, Pig, Spark, and more.
3. Research Scientists:
Research Scientist is one of the most lucrative careers in the field of AI and Machine Learning. It’s an interdisciplinary role where individuals must excel in multiple disciplines of AI comprising applied mathematics, machine learning, deep learning, and computational statistics.
To attain a job in this field, candidates should have an in-depth theoretical and practical understanding of:
- Parallel Computing
- Distributed Computing
- Computer Architecture
Research Scientists should also have to demonstrate knowledge in:
- Computer Perception
- Graphical Models
- Reinforcement Learning
- Natural Language Processing
4. Business Intelligence Developer:
Careers in AI and Machine Learning also incorporate an in-demand position of Business Intelligence (BI) Developer. The prime role is to crunch and analyse massive complex datasets for business insights that identify business and market trends. They are primarily responsible for the continuous enhancement of efficiency and profits of a business or a company.
The ideal candidate for this position should have experience and a strong knowledge of:
- Data Warehouse Design
- SQL queries
- SQL Server Integration Services
- SQL Server Reporting Services
- BI Technologies
Those aspirants who make this field as a career also need to hold compelling technical and analytical skills. They should also display decision making and problem-solving skills as well as should be able to effectively communicate with non-technical colleagues as well.
Apart from these job positions, the career scope in artificial intelligence and machine learning also ranges in various areas such as:
- Big Data Engineer/Architect
- Full-stack developer
- Software Architect
- Data Analyst
- Front-end Developer
- Data Warehouse Engineer
- Product Manager
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