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7 Popular Jobs In Machine Learning

Regardless of advancements and innovation in every tech sector, the base of all these goes down to the efforts of people dealing with computer science. This dynamic field has branched into multiple sectors, each fostering unique advancements. Machine Learning is one such niche where aspiring professionals envision their dream careers. Opening doors to brand names like Google, Netflix, Tesla, NASA, ISRO, and others, there is a wide range of Machine Learning jobs. Explore the world of Machine Learning to discover which ones resonate with your interests and expertise. 

Here’s what we’ll cover in the article: 

  • Machine Learning Engineer
  • Data Scientist
  • NLP Scientist
  • Data Engineer
  • Software Developer 
  • Artificial Intelligence Engineer
  • Computer Vision Engineer
  • Interview Kickstart to Help You Land Machine Learning Job
  • Frequently Asked Questions on Popular Jobs in Machine Learning

Machine Learning Engineer

With more than 30,000 jobs available online on Indeed alone, ML Engineer is one of the top jobs on the list of popular ones. Generally, Machine Learning Engineers deal with designing and implementing Machine Learning models, expanding and optimizing data pipelines and data delivery, and assembling large and complex datasets. 

Roles and Responsibilities 

Some of the basic activities required by Machine Learning engineers to perform daily are: 

  • Design and develop machine learning systems 
  • Conducting experiments related to Machine learning algorithms
  • Develop models while also performing statistical analysis 
  • Performance optimization 
  • Studying and transforming data science prototypes 
  • Extend existing Machine Learning libraries and frameworks 
  • Choose appropriate datasets and data representation methods 
  • Perform statistical analysis and fine-tune them through the test results 
  • Train and retrain the systems 

Skills

The required skills are: 

  • Understanding of data modeling, data structures, and software architecture 
  • Capable of coding in several programming languages like Java, Python, and R
  • Ability to work with a team 
  • In-depth knowledge of probability, mathematics, algorithms, and statistics 
  • Ability to handle Machine Learning frameworks like PyTorch or Keras 
  • Familiarity with libraries like sci-kit-learn 
  • Problem-solving skills and analytical mindset 

Average Salary

The average salary from a Machine Learning engineer job is around INR 11,90,000 per year, with an additional cash compensation of INR 2,00,000 on average. 

Data Scientist

Referred to as the ‘sexiest job of the 21st century’, it involves application of advanced analytical techniques for assistance in the organization’s decision-making and actionable insights. 

Roles and Responsibilities 

Some of the basic activities required by Data Scientist to perform daily are: 

  • Build models specifically suited for problem statement 
  • Efficient use of data visualization techniques for effective presentation 
  • Recognize the crucial data sources and perform automation of collection procedures 
  • Combine models using ensemble modeling 
  • Use known technologies and apply them to drive solutions for business challenges
  • Develop prediction-based models and Machine Learning algorithms 
  • Preprocess the different types of data like structured, unstructured, and semi-structured data 
  • Develop strategies to unlock the hidden potential of data 
  • Build models capable of extracting information and relevant insights from the data 
  • Work in collaboration with other teams 

Skills

The required skills are: 

  • Experience in data mining and data analysis 
  • Working knowledge of programming languages like Python, R, C++, Java, Scala and SQL 
  • Domain knowledge with a business mindset 
  • Knowledge of Machine Learning and operations research 
  • Strong mathematical knowledge base with emphasis on algebra and statistics 
  • Hands-on experience with business intelligence tools like Tableau and data frameworks like Hadoop 
  • Excellent communication and presentation skills 

Average Salary

The average salary of a data scientist in India is around INR 13,07,500 per year. The additional cash compensation is about INR 1,20,000 per annum. 

NLP Scientist

NLP or Natural Language Processing scientists are concerned with making machines learn and interpret human language according to context, emotions, and sentiments. 

Roles and Responsibilities 

Some of the key tasks performed by NLP scientists are: 

  • Design and develop NLP-based applications 
  • Choose among the annotated datasets for Supervised Learning methods 
  • Training the developed models followed by evaluation and validation 
  • Convert the text representations to useful features using NLP 
  • Machine translation, data labeling and annotation, and text classification 
  • Add to existing ML libraries and frameworks for organizations’ NLP tasks 
  • Use statistical analysis to understand the workability and efficiency of models, followed by their further refining 
  • Speech recognition, chatbot development, named entity recognition 

Skills

The required skills are: 

  • Understanding of NLP-specific techniques that include n-grams, a bag of words, sentiment analysis, semantic extraction methods, text representation, data structures, and modeling 
  • Be capable of designing the software architecture 
  • Familiarity with NLU or Natural Language Understanding techniques 
  • Knowledge of text mining and linguistics
  • Data visualization, communication, and problem-solving 

Average Salary

The average salary for an NLP engineer is INR 8,95,275 per annum. They also receive extra cash benefits, which on an average count to around INR 1,35,000 per year. 

Data Engineer

Among the entry-level machine learning jobs, the data engineers’ are mainly concerned with designing and maintaining tools and infrastructure for storage, processing, and data analysis. 

Roles and Responsibilities 

Some of the key tasks performed by data engineers are: 

  • Plan, create and maintain data architecture while aligning it with business needs 
  • Recognize the right data source and types while also considering the storage method 
  • Utilize working knowledge of programming language and pair it with machine learning and its algorithms that include decision trees, random forests, K-means, and others 
  • Utilize analytical tools for generating business insights 
  • Use data models for prediction, recommendation, and aggregation 

Skills

The required skills are: 

  • Proficiency with managing Relational Database Management through SQL 
  • Data warehousing for data aggregation 
  • Familiarity with tools like Apache Hadoop-based analytics for computing distributed processing and storage against datasets 
  • Data architecture ability to build complex database systems for businesses 
  • Programming skills 
  • Handle different types of operating systems like Windows, UNIX, Solaris, and Linux

Average Salary

The Data Engineer earns an average salary of INR 9,80,000, while the expected average cash compensation amounts to INR 80,000. 

Software Developer 

The software developers are responsible for designing and building applications and predicting user reactions. They can be front-end, back-end, and full stack developers. 

Roles and Responsibilities 

Some of the key tasks performed by software developers are: 

  • Research, design, implement, and manage software programs, tools, metrics, and processes
  • Maintain and upgrade existing systems 
  • Evaluate and test the new programs 
  • Check the room for modification in previously developed programs and develop the modifications 
  • Develop quality assurance procedures 
  • Work in collaboration with UX designers, system analysts, developers, and business analysts 

Skills

The required skills are: 

  • Proficiency in programming language and databases 
  • Ability to perform cloud computing and platform configuration 
  • Experience in debugging 
  • Must be able to use text editors 
  • Perform testing procedure, which will include integration, system, and unit testing 
  • Familiarity with algorithms and ability to develop operating systems 
  • Must have a basic understanding of the object-oriented design 
  • Ability to work on software frameworks like .net, cocoa, ActiveX, and others

Average Salary

The average salary of a software developer is INR 9,47,500, and the average additional cash compensation for a software developer is INR 1,00,000. 

Artificial Intelligence Engineer

The profession is more focused on the development of AI systems. The specialists in the area have options to select from different available paths. 

Roles and Responsibilities 

Some of the key activities performed by Artificial Intelligence engineers are: 

  • Automate the infrastructure of the data science team 
  • Develop AI models and assist in result interpretation
  • Carry out the transition of ML models into API or Application Program Interfaces 
  • Manage the AI development and product infrastructure 
  • Carry out statistical analysis while fine-tuning the results
  • Assist in decision-making 
  • Develop data ingestion and transformation infrastructure 

Skills

The required skills are: 

  • Programming skills 
  • Mathematical concepts like linear algebra, statistics, and probability 
  • Machine learning algorithms like SVM, KNN, linear regression, and Naive Bayes 
  • Spark and Big Data technologies like MongoDB, Hadoop, and others 
  • Domain-based knowledge with communication and problem-solving abilities 

Average Salary

The average salary for an artificial engineer is around INR 10,80,917 per year. Additionally, the average cash compensation is about INR 1,00,000 per annum. 

Computer Vision Engineer

The job concerns image-based work where object detection and face recognition are the prime tasks. Computer vision engineers are specifically focused on a specific domain and are required to present novel solutions to existing problems. 

Roles and Responsibilities 

Some of the key tasks performed by Computer Vision Engineers are: 

  • Build new systems for improving the value of visual technology 
  • Work on images for acquiring, analysis, processing, and understanding different aspects 
  • Check and optimize the output of engineering models 
  • Look for room to improvise the existing systems 
  • Perform applications like facial recognition, content moderation, image search and enhancement 

Skills

The required skills are: 

  • ML frameworks 
  • Ability to learn and implement computer vision and deep learning algorithms 
  • Programming knowledge in Matlab and other basic languages 
  • Able to analyze large datasets efficiently and accurately in the minimum possible time 

Average Salary

The average salary is around INR 8,00,000 per year in India, while cash compensation is about INR 1,00,000. 

Land Machine Learning Jobs with Interview Kickstart

Machine Learning engineer jobs provide wide opportunities for freshers and professionals looking to switch their careers. Offering comfortable options like remote machine learning jobs, the field is the most sought-after one in current times. 

The FAANG+ industry experts at Interview Kickstart ensure to provide a comprehensive training and on-demand doubt-clearing sessions open solely to listen to issues faced by you. Moreover, the course is also created keeping in mind the busy schedule or working life of candidates seeking learning opportunities. Register for our FREE webinar to learn how to crack the code with our Machine Learning Course! 

Frequently Asked Questions on Popular Jobs in Machine Learning

Q1. How long does it take to become a Machine Learning engineer?

Ans. The general course duration to become a Machine Learning engineer is around six months. However, the exact duration depends on a person’s practice, ability to perform tasks, and prior knowledge rather than completing a mere degree. 

Q2. Do I need a degree in Machine Learning?

Ans. Though the degree is not mandatory yet, it plays a crucial role in getting a Machine Learning job. 

Q3. Can I get a job in Machine Learning without experience?

Ans. Yes, Machine Learning engineers can get entry-level jobs or internships without experience. 

Q4. How do I gain experience in Machine Learning as a fresher or on switching careers?

Ans. After getting familiar with programming languages, algorithms, and frameworks, work on freely available projects to gain experience in your industry of choice. Create a portfolio to showcase your learned skills and built projects. 

Q5. How much does a TikTok Machine Learning engineer earn in London?

Ans. TikTok Machine Learning engineer earns approximately £85,162 in London. 

Q6. Which companies pay the highest salary for Machine Learning?

Ans. The highest-paying company for Machine Learning Engineers in India is Tiger Analytics, offering INR 14,70,193 per annum. 

Q7. Does Machine Learning contribute to the economic growth of the country?

Ans. Machine Learning revolutionizes economic growth by gathering data, model creation, and forecasting economic results.

Last updated on: 
December 14, 2023
Author

Swaminathan Iyer

Product @ Interview Kickstart | Ex Media.net | Business Management - XLRI Jamshedpur. Loves building things and burning pizzas!

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