Job Opportunities in Machine Learning
Our world is gradually evolving to become more technology-reliant. And one such technology expected to revolutionize the future is Machine learning.
With its advent; engineers program the computer to learn and provide data on its own with limited or no manual instructions.
Skill set for Machine Learning Engineer
Following skill set would be required for the best machine learning course
1.Programming language- Proficiency in many languages like Java programming for Map Reduce coding, R for visualization purpose, and Python for Machine learning.
2. Calculus and statistics- Most of the Machine learning algorithms are mathematical. Hence you should know your high school mathematics efficiently.
3. Signal Processing- You can expect exponential growth in your career; when you have the knowledge of signal processing.
4. Neural Networks- Due to their efficiency they have gained huge popularity in recent years.
5. Language processing- Machine learning deals with text data, voice data, and visual data. Hence the ability to program such data is mandatory.
Depending on their level of expertise ML Engineers may:
1. Study and transform the Data Sciences prototype.
2. Design machine learning system
3. Research and implement appropriate ML Algorithm and tools.
4. Develop Machine Learning Applications according to the rule of the industry
5. Look for Appropriate data sets and Data Representation techniques
6. Run machine learning Tests and experiments.
7. Execute Statistical Analysis and fine-tuning using test results
8. Train and Re-train systems when necessary.
9. Extend the existing ML libraries and framework.
Machine Learning Career Paths
MACHINE LEARNING ENGINEERS- Most coveted and Promising field of ML. They perform sophisticated programming to develop machines and systems. They learn and apply knowledge without specifications.
They; shape and develop efficient self-learning ML applications. And perform statistical analysis and fine-tuning using test results.
They also conduct experiments using programming languages like Java, R, Scala, and C++.
SKILLS REQUIRED: Must have a strong foundational knowledge of Mathematics, Statistics, and programming. Accomplished in software architecture, system design, data structures, data modeling, and ML algorithm.
Hailed as the “Sexiest Job of the 21st Century” by a Harvard Business review article. These are high-profile experts who leverage advanced technologies (like Big Data, AI, ML, Deep Learning, etc.) and analytical tools on a daily basis to collect, store, process, analyze, and interpret massive amounts of data. Their primary goal is to extract valuable insights from large datasets and convert them into business value.
SKILLS REQUIRED: like the MLE; they should acclaim Mathematics, Statistics, and programming skills.
And also have thorough experience in data mining and how to apply various statistical research techniques and use Big Data platforms (Hadoop, Pig, Hive, Spark, Flume, etc.).
Natural Learning Process functions to coach machines the ability to understand natural human languages. NLP Scientists hold the core responsibility of designing and developing machines and applications. These machines can learn the patterns of speech of a human language and also translate spoken words into other languages.
SKILLS REQUIRED- They teach machines how to understand the nuances of human languages. Hence, they must be fluent in the syntax, spelling, and grammar of at least one language (the more, the better).
HUMAN-CENTRED MACHINE LEARNING DESIGNERS
This is an exclusive branch dedicated to designing ML algorithms centered around humans. These designers are responsible for creating intelligent systems that can “learn” the preferences and behavior patterns of individual humans through information processing and pattern recognition.
SKILLS REQUIRED- they must have an in-depth understanding of various ML concepts, algorithms, and how they function. And also have a good base in Mathematics and Statistics along with coding skills.
An excellent example is Amazon and Netflix's Recommendation Engine.
INDUSTRIES LEVERAGING MACHINE LEARNING ARE:
The Financial Service Industry
AN AVERAGE INCOME- A machine learning engineer receives a clean slip of a roughly 7lkh per annum income in India.
While these are few careers in Machine Learning. Other profiles like Data Analyst, Data Architect, Cloud Architect, and Business Intelligence Developer also exist in this domain.
Every organization wants to capitalize on its data to gain insights, improve customer relations, increase the sale, or be competitive. ML has enough capability to help them achieve their goal.
Yet, Machine Learning's ability to automate, expect, and evolve is powerful, but that doesn't mean computers will take over the world. They still need human operators to provide context, to set parameters of operations, and to continue improving the algorithms.
Top 10 trending technologies in 2021.
