Machine Learning has changed the way businesses operate. From deploying efficient algorithms to data-driven operation models, the use of machine learning technologies has introduced numerous advanced methods. Due to this very ability, it has been considered as a revolutionising force across many industries. Along with this, the current market scenario is forcing leaders to re-evaluate the need for introducing machine learning-based operations into their business processes. The resulting rush to employ this advanced technology has led to a spike in employment opportunities in the top machine learning companies across the world. While the salary offered for machine learning jobs has shot up, the number of highly skilled machine learning professionals has also steadily increased. In simple words, if you are keen on choosing a role in machine learning, the competition may be very high, but fruitful. Be it a new graduate looking to build a career in machine learning or an industry professional thinking about career transition into machine learning jobs, this blog will help you in selecting the right companies to work for. 

Machine Learning Companies – How to Make the Right Choice for a Machine Learning Engineer Job

While selecting a perfect job role from the mix of machine learning jobs available, there are many aspects that you may need to focus on. This varies with your experience level, a fresher has a different goal while an experienced candidate has a different perspective when it comes to choosing a job. Either way, the best career advice for advancing in a machine learning career is to make a check-list of a few qualities that you must look for in machine learning companies. The qualities are –

Learning prospects: The main advantage of choosing the best among the machine learning companies is your growth. To progress in your machine learning career, you need to select jobs that teach you about the use and creation of processes that help in improving the effectiveness of various industrial operations. In order to do that, your job must enable you to think and learn from whatever you do on a daily basis. The job role must have a potential of growth as new opportunities make you work harder and help you excel professionally. 

Challenging job role: To excel in your machine learning career, one has to face novel challenges in their job to learn more and become an expert in what they do. This lets you grow phenomenally and allows you to build your confidence as well. In simple words, to be able to enhance your skills or learn new methods, you must be allowed to face challenges in your career, and learn to overcome them. Therefore, the best career advice that can be given for people pursuing machine learning jobs is – “Problems and challenges in this field will help you learn better and improve your skills.”

Portfolio of projects: A fool-proof way to progress in your machine learning career is by improving your creativity. Hence, the companies that take on unique challenges and projects are the ones that often allow their employees in machine learning roles to try innovative methods. When unprecedented problems or challenges arise, you will be able to utilise your machine learning skills to create new solutions. 

Other than these parameters, you must also focus on the industry you wish to proceed in. From insurance to advertising, machine learning has spread its roots in all the industries. Therefore, machine learning job roles offer a certain degree of flexibility when it comes to choosing your future industry line. For instance, if you are a professional, already working in the marketing industry, you have an option to switch to a machine learning job role in the same industry or pick any other industry of your choice. 

Along with the full-time roles offered by top machine learning companies, there is a flourishing market for freelance machine learning professionals as well. If you are not looking for a serious role and wish to work on various projects, you can try working as a freelance machine learning professional as well. Working as a freelance machine learning expert gives you the option to work and learn at your own pace, while also adding diversity to the kind of projects you handle.

By focusing on the above-mentioned points and having an understanding of the kind of questions asked in a machine learning job interview, you can easily bag a role in one of the top machine learning companies in the world. Wondering which company to apply to? Read on to know more.

The Top Machine Learning Companies to Apply to

Let’s take a look at the list of top machine learning companies you should apply to.

1. Facebook

The social media giant who currently owns Instagram and WhatsApp is one of the tech-giants who invests heavy sums in hiring the best professionals with expertise in machine learning from across the globe. Along with this, the company also boasts of having 4 AI research campuses around the world that contain state-of-the-art facilities for their employees to work, learn and develop new solutions in.

Notable projects/products: With the focus on improving various aspects of the different platforms owned by them, Facebook is known to employ their machine learning experts in deep learning processes to enhance customer engagement through:

  • Targeted advertising to reach the right audience based on the data collected
  • Newsfeed algorithm to show the content which the audience likes to read more about.
  • Facial recognition to identify, analyse and develop AI algorithms for security.

Salary range for machine learning jobs: ₹5,00,000 to ₹20,00,000 per annum

Skills you need to focus on: According to their career portal, having expertise in specific areas such as recommendation systems, pattern recognition, data mining etc will prove beneficial for people who wish to apply to this company. Along with these skills, an understanding of analysing data insights and experience of using one or more of frameworks like Hadoop, Hbase etc. may add weight to your profile. A basic understanding of programming and scripting languages such as Perl, Python, PHP and shell scripts is a necessary requirement.

Where can you apply: Facebook’s interactive career portal helps you apply for the right job with ease.

2. Pixel Crayons

From marketing to HR, this company has worked with numerous clients to develop countless development services. This is considered to be one of the best companies for freshers looking for opportunities in the machine learning field. 

Notable projects/products: From natural language processing to robotic process automation, the company offers the best process optimisation solutions for brands. A few projects they worked on are:

  • Developing a B2C health tracking app that allows users to access the information related to health and wellness directly along with a symptom mapping system.
  • A complete Anomalies Detection System for detecting all kinds of risks and issues in various industries.

Salary range for machine learning jobs: ₹4,50,000 – ₹15,00,000 per annum

Skills you need to focus on: Natural language processing and process automation are two of the major verticals in Pixel Crayons, hence it is absolutely necessary for aspirants to be thorough in programming languages like python. 

Where can you apply: You can keep a track of their LinkedIn page to apply for new job openings.

3. Google

The search engine has always been a firm with a keen interest in machine learning. They are known to employ effective and scalable services that help their audience. 

Notable projects/products: Google has worked on many key projects that shaped the current industry. Through these projects, they have shown their expertise in various sub-skills such as visual processing, image search and recognition, and voice search as well. Here are a few of them:

  • Employing deep learning and AI capabilities in Google Brain for analyzing user’s viewing habits
  • Creating Jigsaw, an AI project to identify hate speech and comments on the internet.
  • Designing an intuitive text prediction algorithm, which has been deployed in both the search engine and G-board – the Google keyboard.

If you are looking for challenging projects and intricate AI-based solutions, then Google is the place for you!

Salary range for machine learning jobs: ₹3,40,000 – ₹20,00,000 per annum

Skills you need to focus on: Along with critical and creative thinking, experience or knowledge of Natural Language Processing, text understanding, classification, pattern recognition, or similar machine learning processes is a must. An understanding of building, deploying, and improving Machine Learning models and algorithms in real-world products or solutions would also add value to your profile.

Where can you apply: Google career portal serves as the best place for you to apply for a position in the company.

4. Gramener

Ever thought about working with one of the top 10 data scientists in the country? With Gramener it might be possible. With an inspiring leader at the helm, this company is well-known for its data-driven projects. The company is also known to help its clients with an advanced data platform that converts insights into stories, and also plays a big role in visual representation for easy analytics.

Notable projects/products: Gramener has employed its resources of machine learning professionals to work on many diverse and challenging projects, such as: 

  • Working with Microsoft AI to incorporate their AI/ML expertise to create data applications for Azure stack.
  • Collaborating with Micro Focus to design a cyber-security project.

Salary range for machine learning jobs: ₹6,00,000 – ₹11,00,000 per annum

Skills to focus on: According to them, a data scientist needs to have the perfect blend of analysis, visualisation and storytelling skills. Along with this, the company looks forward to testing your deep understanding in machine learning algorithms and libraries. So brush up your skills and get ready to apply for a job role here.

Where can you apply: Being the storytellers they are, their career portal also takes you on a visual journey while you apply for your dream job.

5. QBurst

Known for their expertise in delivering smart and future-ready technology solutions, QBurst has placed itself as a company that many machine learning professionals look forward to working with. Their 360-degree outlook towards the challenges of their clients has helped them improve their operational efficiency.

Notable projects/products: By identifying latent constraints in data, they have optimised business processes and make accurate data predictions for their clients. Some of their notable projects include:

  • Developing an advanced forecasting system using various regression algorithms such as Seasonal Autoregressive Integrated Moving Average (SARIMA), Decision Forest etc. to predict consumption patterns of gas and electricity for a leading IT firm in Europe.
  • Creating a smarter solution for analysing customer-product interactions for a famous retail chain in the USA. Using machine learning, they allowed the client to conduct a dwell time analysis and display advertisements at a point of interest for better results.
  • Designing a fully automated tool is an NLP-based Artificial Intelligence (AI) system that gives a complete user-friendly dashboard which delivers insightful charts with real-time customer analytics to help a global telecommunication company enter the GSM market in Africa. 

Salary range for machine learning roles: ₹5,70,000 – 8,00,000 per annum

Skills you need to focus on: As a company that promises on delivering 360-degree solutions, they concentrate a lot of core programming skills like Python, R etc. They also emphasise on frameworks, systems and core tools like Azure ML studio, HBase, Apache Flume, etc. A basic understanding of these frameworks will serve as an added advantage. Along with these hard skills, the company prefers candidates who possess good soft skills such as public speaking, critical thinking, leadership etc. 

Where can you apply: Their career portal is well-structured for all candidates to apply for the various job roles offered by them. With separate pages for entry-level roles, or submitting resumes etc. the company has made the whole applying process simple and convenient.  

6. Machine Learning Companies to Apply to: Valuecoders

Founded in 2004, Valuecoders has been a giant in the machine learning field. They have created an amazing work culture for aspiring individuals to grow in their machine learning careers. Currently, ValueCoders is headquartered in Gurugram and has 2 office locations across the country. This company has a young, fun-loving, open yet professional and hard working office environment that encourages their machine learning professionals to take new challenges. 

Notable projects/products: The company has worked on numerous projects and are well-known for their business analytics and AI-powered chatbots, which is also their specialised service. Few of them are:

  • E-commerce customer activity tracking system
  • Airport capacity planning system
  • Parenting application 

Salary range for machine learning roles: ₹5,00,000 – ₹10,00,000 per annum

Skills you need to focus on: This company lets you work on complex challenges to enhance your skills. Therefore, you need to focus on analytical and problem-solving skills more. Their prerequisites include proficiency in core-technical skills such as machine learning algorithms and programming languages like C, C++, Java, Python. 

Where can you apply: If you are interested to join this company, you can directly apply through their career portal. 

While the above mentioned companies are the most sought after by machine learning professionals, many new companies have also caught the eye of industry experts in this field. You can read more about these top 20 emerging companies here. Along with this, if you wish to see how industry leaders across the globe have implemented machine learning technology, check out these interesting projects

Selecting the best among these machine learning companies can help you progress in your career and also give you the boost required to establish yourself in the industry. Industry experts and mentors in the field are always ready to help you learn things from an industry perspective, hence networking is also a key part of growing in your career. Along with selecting the best machine learning company, the right career advice is to focus on learning new skills to improve yourself. In order to do that, you can also refer to machine learning programs that will help you take your career forward. Wondering how you can do it? Here is your answer. Springboard’s machine learning career track program is a 1:1 mentoring-led, project-based online program that will help you prepare yourself for meaningful and successful machine learning jobs. Check out our website to know more about it.