Artificial Intelligence is the talk of every town today! From robots cooking food to self-driving cars, the applications of artificial intelligence is slowly creeping into our daily activities. A lot of IT professionals today are worried about robots replacing human beings, but a Gartner research reports that AI is all set to create over 2.8 million jobs by the year 2020. Artificial Intelligence is actually a broad term that encompasses machine learning, data mining, expert intelligence and a lot more. In the present world, Artificial Intelligence capabilities are in demand across all industries – right from gaming to weaponry and vision recognition to search engines.
If you are thinking of Artificial Intelligence as a career option, then here are top 5 jobs in the field and the skills you will need to fit into each of them:
- Machine Learning Engineer: This is a sought-after job role in AI. A Machine learning engineer job role looks like this:
- Apply predicting models in order to utilize natural language processing while working with large data sets.
- Applying knowledge of software development methodology, range of complete software development tools including ones like IntelliJ and components of continuous deployment pipeline.
Skills required:
- Programming languages like Java, Python, R and Scala
- Excellent mathematical skills, knowledge of cloud applications
- Good analytical skills
- Certification in Machine Learning
- Industry oriented formal training in Machine Learning is a huge plus
- Robotic Scientist: Even if robots can automate jobs, one will require programmers to work behind the scene in order to make sure that they do their job. Robotics Science is used in a number of fields like healthcare, space exploration and many more. The main function of Robotics Scientist is to build robots that can perform tasks when given commands by humans.
Job role:
- Writing and manipulation of computer programs
- Development of prototypes
- Collaboration with specialists of other fields
Required skills:
- Advanced Mathematics specialization
- CADD
- Physical sciences, knowledge of fluid dynamics and life sciences and certifications in these fields are an added bonus.
- Hands on experience with projects
- Data Scientist:
Job Role: A Data Scientist collects, analyzes and interprets huge amounts of data by making use of machine learning and predictive analytics in order to gain insights that go beyond statistical analysis.
Skills required:
- Expertise in use of Big Data platforms like Hadoop, Pig, Spark, MapReduce and Hive.
- Programming languages like Python and R
- Query languages like SQL
- Statistical computing languages
- Working on cloud tools like AWS
- Strong communication skills
- Business acumen
- Analytical skills
- Intellectual curiosity
- Business Intelligence Developer: There is a high demand for business intelligence developers.
Job Role:
- Analyzing complex data
- Increase efficiency and profitability of organization with tracking of current market and business trends.
- Responsible for modeling, designing, maintaining and building data for extensive, complex and accessible data platforms that are cloud-based.
Skills required:
- Hands-on technical training
- Experience (at least with training projects) in data mining, SSRS(SQL Server Reporting Services), SSIS(SQL Server Integration Services
- Data science certifications.
- Very strong technical skills
- Analytical skills
- Problem-solving and communication skills
- Research Scientist: A research scientist is someone who is an expert in several artificial intelligent disciples that include applied mathematics, machine learning and computational statistics. Specifically, these areas include graphical models, deep learning, natural language, reinforcement learning and computer perception.
Skills required:
- Machine Learning
- Parallel Computing
- Thorough knowledge of algorithms
- Distributed computing, benchmarking
- Thorough understanding of computer architecture
- Strong communication skills
While the above job roles maybe advanced ones, they clearly help aspiring AI professionals set a career goal. And any of the above jobs must always begin with a thorough, well thought out course by experts that offers hands-on training in actual labs. IIHT’s AI/ML stack course gives one exactly that! For more, go to aimlstack.iiht.com.