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Who is a Machine Learning Engineer?
Machine learning will automate jobs that most people thought could only be done by people ~Dave Waters
A Machine Learning Engineer is a computer science professional employed in the IT industry. A machine learning engineer plays a crucial role on the data science team. In addition to maintaining and enhancing current artificial intelligence systems, his or her job includes investigating, developing, and designing the artificial intelligence that powers machine learning. An individual in a machine learning engineer career designs and creates AI algorithms to make future predictions based on machine learning. He or she serves as a member of the data science team.
An ML Engineer works with data scientists, administrators, data analysts, data architects, and data engineers. He or she may also require to work with other teams including software development, sales or web development, and IT teams. Here, in this article, we will discuss how to become a machine learning engineer, the ML engineer job description, the machine learning engineer career path, machine learning engineer skills, machine learning engineer do, and machine learning engineer degree.
Machine Learning Engineer in a Nutshell
A Machine Learning Engineer (ML Engineer) is an IT professional who is focused on researching, building, and designing self-running AI systems to automate predictive models. An Individual in the machine learning engineer career act as a bridge between data scientists and the construction of machine learning (ML) and artificial intelligence (AI) systems. An ML Engineer executes and optimises machine learning models and algorithms.
Quick Facts for Machine Learning Engineer
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Industry
Technology
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Average Salary in India
₹103718
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Suitable for
Male, Female, Others
A Machine Learning Engineer career is suitable for anyone who possesses relevant skills and knowledge. One's gender does not play any role in this career. Whether a person is female, male or belongs to any other gender can take up the role.
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Any special needs
Yes
A career as a Machine Learning Engineer is suitable for candidates with special needs. Since, it is a desk-based role, aspirants with mobility-related special needs can perform well in this career.
Table of Contents for Machine Learning Engineer
What is the role of Machine Learning Engineer?
Are you thinking what is Machine Learning Engineer or what does a Machine Learning Engineer do? A Machine Learning Engineer is a professional who utilises computer science fundamentals including data structures, computability, complexity and computer architecture, and algorithms. An ML Engineer is part of a larger data science team. Individuals in the machine learning engineer career path communicate with data scientists, administrators, data analysts, data engineers, data architects, and other professionals outside the data science team. An individual in a career as an ML engineer is primarily responsible for developing machine learning models and retraining systems whenever required.
Computation
A Machine Learning Engineer is responsible for performing computations and working with algorithms and using mathematical skills involved in the programming.
Build Algorithms
A Machine Learning Engineer's work responsibilities include building algorithms that are based on statistical modelling procedures. He or she builds and maintains scalable machine-learning solutions in production.
Liasion
A career as Machine Learning Engineer demands liaising with stakeholders to analyse business problems and clarify their requirements. He or she defines the scope of the required resolution.
Finding Patterns
A Machine Learning Engineer is also responsible for finding patterns using data modelling and evaluation strategy to predict unseen instances.
Improving Machine Learning Infrastructure
A career as Machine Learning Engineer implementing best practices to improve machine learning infrastructure and data pipelines to bring code to production.
What is the workplace/work environment of Machine Learning Engineer like?
An Individual in a career as an ML engineer, requires to work in an office-based environment. He or she has to work with complex systems that require a high level of concentration and attention to detail. ML engineer career path work involves spending the majority of hours in front of a computer. The dress code and office culture may vary from organization to organization in a career as ML Engineer. Since the role is offered in the developing sector, there is a good level of job security. There is also scope for remote work in the Machine Learning Engineer career.
Does Machine Learning Engineer require travelling?
Likely
There is no frequent travel in Machine Learning Engineer jobs. There is no field visit associated with the role of a Machine Learning Engineer.
Employment Shifts
Full Time
An Individual in a machine learning engineer career path usually works on a full-time basis. Remote work and work from home may often be provided in this career.
Employment Nature
Contractual, Permanent
A career as a Machine Learning Engineer provides both types of work opportunities. Individuals in a career as ml engineer can find contract work that is typically on a part-time or freelance basis. There is also some opportunity for remote work.
Work Place
Office, Work From Home, Remote Work
Individuals in the machine learning engineer career work in an office environment at computer systems. He or she may often be provided with work-from-home or remote work.
Presence in Geographical Area
Urban
The metropolitan cities such as Bengaluru, Pune, Mumbai, Chennai, Hyderabad, Gurugram and New Delhi provide promising Machine Learning Engineer employment opportunities with alluring salaries.
Time Pressure
Likely
A Machine Learning Engineer works under frequent time pressure. He or she is required to complete his tasks in the given frame of time before the deadline arrives.
Overtime Details
On several occasions, a Machine Learning Engineer may often be required to work extended hours to meet deadlines.
Weekly Hours of Work
Min 40 Hours
In a machine learning engineer career, an individual usually works from 9 am to 5 pm on a five-day working shift Monday to Friday. Working offs are two days a week while holidays vary. In this career, holidays are quite generous.
How to become a Machine Learning Engineer?
Steps to become a Machine Learning Engineer
If you are someone interested in Artificial intelligence and machine learning then a career as Machine Learning Engineer is the most suitable career option for you. If you are willing to opt for a career as Machine Learning Engineer then you are required to follow certain steps. We have mentioned below the steps for how to become a Machine Engineer.
What are the skills and qualities required to become a/an Machine Learning Engineer?
We have provided below details of machine learning engineer skills crucial in his or her career for progression and maintaining competency in the industry. Below, we have discussed how to become a machine learning engineer.
Data Science: A Machine Learning Engineer must possess data science skills. It includes knowledge of computer programming languages R and Python. Data Science is one of the most important ml engineering skills. Statistics, Model Optimisation, Model Validation, ML Frameworks, Deep Learning Frameworks, and ML applications.
Software Engineering: A career as a Machine Learning Engineer demands knowledge of software engineering as well. He or she must possess knowledge of second programming languages such as Java, C++, or JavaScript, Cloud offerings, distributed computing, system design, and software architecture.
Data Modeling and Evaluation: A Machine Learning Engineer job requires candidates to be skilled in data modelling and evaluation. Data modelling requires understanding the data structure and finding patterns that can not be seen by laymen.
Neural Networks: Neural Networks possess great importance in the profession of Machine Learning engineering. There are multiple layers in neural networks that include an input layer to receive data from outside and then pass it through multiple hidden layers to transform input into data that holds value for the output layer.
Natural Language Processing: Natural Language Processing is about teaching human language with all the complexities to computers. Natural Language Processing, also abbreviated as NLP is crucial and a fundamental part of Machine Learning.
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Which certifications and internships can be helpful in becoming Machine Learning Engineer?
Aspirants who want to become Machine Learning Engineers may check some of the online certifications listed below. Just like the machine learning engineer degree, the machine learning engineer course too helps them to upgrade their machine learning engineer skills and knowledge.
Internship Availability
Aspirants may find machine learning engineering internships on various recruitment platforms. A machine learning intern gets training in coding and testing backend services to support machine learning training, prediction and annotation. He or she is provided with the responsibility to improve the scalability and performance of machine learning systems deployed at a large scale. An ML internship provides an opportunity to work with professionals to solve hard and unique problems with data science and machine learning.
Career Path Progression for Machine Learning Engineer
Here are details of Machine Learning Engineer career progression. Individual progress in a career with the increase in work experience being functional in the industry over the years.
Junior Machine Learning Engineer: The work experience of a junior level experienced Machine Learning Engineer is 1 to 4 years. A Junior Machine Learning Engineer combines software engineering and data analysis skills to make machines learn without any further requirement of programming.
Senior Machine Learning Engineer: A senior level experienced Machine Learning Engineer is generally responsible for creating algorithms and programmes that enable machines to take action without any directions.
Machine Learning Engineer Jobs and Salaries
Junior Machine Learning Engineer
Contractual/Permanent
- Average Salary 42570
Job Description
A junior Machine Learning Engineer is responsible for designing and creating AI algorithms that enable learning and predicting that defines machine learning.
Salary Description
The Junior Machine Learning Engineer salary in India varies depending on the candidate's skills and experience. The average Junior Machine Learning Engineer salary ranges from Rs. 510841 per annum in India, according to payscale.com.
Senior Machine Learning Engineer
Contractual/Permanent
- Average Salary 164866
Job Description
A senior Machine Learning Engineer is an IT professional whose area of concern includes research, building, and designing self-running artificial intelligence systems.
Salary Description
The Senior Machine Learning Engineer salary in India varies depending on his or her skills, expertise and experience. The average senior Machine Learning Engineer salary is Rs. 1978400 per annum in India, according to payscale.com.
What is the job outlook for Machine Learning Engineer?
There is a constant increase in demand for machine learning engineer career. Qualified machine learning engineering aspirants may work in large-size tech-based companies and medical companies within internet security. In the field of Engineering, Machine Learning provides the highest salary. Qualified candidates may get large contracts in giant organisations with well-developed IT systems and higher pay packages. Scroll down the article to know about how to get a job as a machine learning engineer.
Frequently Asked Questions for Machine Learning Engineer
Que. How much does a Machine Learning Engineer make per annum in India?
Ans.The Machine Learning Engineer average salary in India is Rs. 701530 per annum in India.
Que. What are top Machine Learning Engineer colleges?
Ans.Top Machine Learning Engineering colleges in India are listed below:
Que. What is the required qualification to become a Machine Learning Engineer?
Ans.Aspirants are required to successfully complete an undergraduate-level computer science degree programme in order to become a Machine Learning Engineer.
Que. What is the average fee of B.Tech. in Computer Science with specialisation in Machine Learning?
Ans.The average fee of B.Tech. in Computer Science with specialisation in Machine Learning is Rs. 10,00,000 to Rs. 15,00,0000.
Que. What are top Machine Learning Engineer recruiters?
Ans.We have listed below top Machine Learning Engineer recruiters:
Tata Consultancy Services
Intel Corporation
Accenture Technology Solutions
Que. How to become a machine learning engineer without a degree?
Ans.If you want to become a Machine Learning Engineer then a Master's or PhD degree is preferred in computer science or related fields. Without a degree, it is not possible to become Machine Learning Engineer but you may learn some of the skills and get certified through a specialised certification.
Que. How to become machine learning engineer in 6 months?
Ans.Becoming an ML Engineer is not possible in 6 months as it requires a full-time bachelor's and master's degree. You may opt for a specialised certification course to enhance your skills and knowledge but may not become one.
Que. How to become ML engineer in India?
Ans.To become an ML engineer in India, you must learn the coding and programming languages, take a degree in computer science or related fields and practise the skills by taking internships or projects and apply for relevant ML Engineer jobs.
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Questions related to Machine Learning Engineer
If I am getting a seat in btech branch of ai-ml & also in ai-ds ,which one would be better to choose? (as ai already includes machine learning wld choosing ai-ds be better or ai ml? )
Hello,
To begin with, it is impossible to compare the two realms in order to determine which is superior — exactly because they are two distinct fields of study. It's the equivalent of contrasting science with the arts. However, the clear popularity of data science nowadays cannot be denied. Almost every industry has turned to data to help them make better business decisions. Whether it's for performance analysis or device data-powered plans or apps, data has become a vital element of enterprises. Machine Learning, on the other hand, is still a developing field that has yet to be accepted by a few businesses, implying that ML technologies will become more in demand in the near future. As a result, specialists in both of these fields will be in high demand in the future.
Because Machine Learning and Data Science are so intertwined, a fundamental understanding of both is essential to specialise in one of the two fields. To begin with Machine Learning, however, understanding of data analysis is necessary in addition to data science. Understanding and cleaning data before using it to create ML algorithms necessitates learning computer languages such as R, Python, and Java. Tutorials on these programming languages, as well as basic data analysis and data science ideas, are included in most Machine Learning courses.
Data Scientists or Machine Learning Engineers make greater money.
Data Scientists and Machine Learning Engineers are both in high demand in today's industry. When it comes to entry-level positions, data scientists appear to make more money than Machine Learning engineers. For entry-level positions in data science, the average income is more than 6 LPA, whereas for Machine Learning engineers, it is approximately 5 LPA. Senior specialists, on the other hand, make almost the same amount in both disciplines, averaging approximately 20 LPA.
Hope this helps.
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Did you know?
Fact 1
India’s cloud market is about to reach 7.1 billion dollar in 2022 with the expansion of ML, AI and IoT
Fact 2
The future of Cloud Native security is Machine Learning
Fact 3
Machine Learning means learning from the data
Fact 4
Data Transformation is one of the most hard work for machine learning
