SkillRary

Machine learning engineers--i.e., advanced programmers who develop artificial intelligence (AI) machines and systems that can learn and apply knowledge--are in high demand, as more companies adopt these technologies. These professionals perform sophisticated programming and work with complex data sets and algorithms to train intelligent systems.

While many fear that AI will soon replace jobs, at this phase in the technology's development, it is still creating positions like machine learning engineers, as companies need highly-skilled workers to develop and maintain a wide range of applications.

Machine learning systems can rapidly apply knowledge and training from large data sets to perform facial recognition, speech recognition, object recognition, translation, and many other tasks.

The growing demand of Machine Learning (ML) and Artificial Intelligence (AI) in almost every industry is compelling the employees across the globe to learn new skills in similar areas. It is said that AI and ML are expected to impact and transform our lives in ways beyond imagination similar to the internet. AI/ML will change the way we shop, communicate, travel, perform our routine tasks and do our business.

Though, few may have confusion that a career in Machine Learning is lucrative or not? In its report on AI/ML, PricewaterhouseCoopers (PwC) revealed that 31% of the executives are worried about the inability to meet the demand for AI/ML skills over the next five years. With the article below, we will put forth the topic “Machine Learning: Career and Future Scope”.

The confusion among the workforce across the globe is due to the rumours such as the AI/ML will steadily take over large sectors of the workforce and will bring mass-scale unemployment. However, it is not true as a report from the world’s leading research and advisory company, Gartner depicts that AI/ML is expected to pave the way for close to 2.3 million jobs by the year 2020.

AI professionals trained in the field of Machine Learning are in very high demand. Almost every startup (software-based), as well as a large enterprise, wants to hire skilled Machine Learning professionals. So, if a person wants to get a job in the field of Artificial Intelligence, it is the best time to upskill with one of the crucial aspects of AI, named machine learning.

Machine Learning: Job Roles

Let us take a sneak peek into some of the ML job roles in demand.  Machine Learning Jobs for freshers may include the job of a software engineer, data analyst or data scientist.

• Machine Learning Engineer: Machine learning engineer is responsible for designing and implementing machine learning algorithms.
• Data Scientist: A Data Scientist collects, analyzes, and interprets large amounts of unstructured data using Machine Learning and predictive analysis to derive insight and help design future strategies.
• Data Analyst: A Data analyst first acquires information about a specific topic, then interprets and analyze it, and at last present the findings in the form of comprehensive reports.
• Data Architect: Data Architects develop, construct, test, and maintain highly scalable data management systems using Machine Learning algorithms.

Machine Learning Engineer responsibilities include:

• Designing and developing machine learning and deep learning systems
• Running machine learning tests and experiments
• Implementing appropriate ML algorithms

Responsibilities:

• Study and transform data science prototypes
• Design machine learning systems
• Research and implement appropriate ML algorithms and tools
• Develop machine learning applications according to requirements
• Select appropriate datasets and data representation methods
• Run machine learning tests and experiments
• Perform statistical analysis and fine-tuning using test results
• Train and retrain systems when necessary
• Extend existing ML libraries and frameworks
• Keep abreast of developments in the field

Machine learning engineers need to write code that:

• predicts well
• is production-ready and easy to understand
• runs fast and is memory efficient
• is sensitive to ethical considerations

Those applying for machine learning jobs can expect several different types of questions during an interview, testing their skills in mathematics and statistics, data science, deep learning, programming, and problem-solving.

• Some questions that a machine learning engineer can expect to be asked during an interview include:
• What have you been working on for the past few years?
• What AI and machine learning tools are you familiar with, and how proficient are you in them?
• What do you do to stay on top of changing technologies?
• How do you clean and prepare data to ensure quality and relevance?
• How do you handle missing or corrupted data in a dataset?
• What are the ethical implications of using machine learning?