In particular, machine learning is being used in an ever-expanding range of products \u2013 from self-driving cars to computers that can help in identifying diseases to robots capable of identifying and eradicating weeds to digital assistants that are bringing the technology closer to common people. No wonder you can find it almost everywhere.<\/span><\/p>\n As a result, machine learning jobs<\/strong><\/em><\/a> are increasing in demand as more and more businesses are leaning toward algorithms. Before we begin the discussion on different job roles for machine learning professionals, it\u2019s important to note that apart from machine learning degree or certification holders, there\u2019re ways through which someone can land into machine learning jobs<\/strong>.<\/p>\n For example, persons without any prior experience or knowledge of software engineering can get a job in machine learning provided they\u2019ve solid knowledge in computer science, statistics, mathematics etc. A software engineer with a couple of years\u2019 of experience can also switch his\/her career into machine learning. A data scientist<\/strong><\/a><\/em> or a Python<\/strong> developer can also do the same easily. Knowing Python programming<\/strong> <\/em><\/a>help to learn machine learning.<\/p>\n While<\/em> the demand for machine learning professionals<\/strong><\/em><\/a> is likely to increase in the near future, an array of industries have already paved the path with lucrative pay packets and the offer of a rewarding career.<\/span> We\u2019re going to shed some light on the most in-demand machine learning jobs<\/strong> available in the field right now.<\/p>\n It\u2019s<\/em> usually considered as the initial role among all machine learning jobs<\/strong>. Machine learning engineers<\/strong><\/em><\/a> create algorithms to help decipher meaningful patterns from massive amounts of data.<\/span> These people also develop applications, which can perform common tasks done by humans in order to generate effective results without errors.<\/p>\n Ability of developing highly-scalable distributed systems and addressing different business challenges by implementing machine learning algorithms are two major job responsibilities of machine learning engineers.<\/p>\n Being<\/em> one of the most in-demand machine learning jobs<\/strong>, data scientists<\/strong> <\/em><\/a>are primarily involved in gathering data from different touchpoints, analyzing and interpreting it, drawing insights and inferences, and coming up with forward-looking solutions for business concerns. <\/span><\/p>\n Robust programming skills together with a strong knowledge in statistics are two crucial criteria for this position. They\u2019re also required to source massive datasets located in disparate places to uncover actionable insights and information on which business decisions can be made. This position also entails identifying problems and working to rectify them.<\/p>\n These<\/em> people are expected to be familiar with data retrieval, data visualization, data warehousing<\/em>, Hadoop-based analysis, and other business intelligence concepts.<\/p>\n A strong background in statistics, mathematics, machine learning, and programming is required to excel in this position.<\/span> Core responsibilities of these persistent data miners include designing and deploying algorithms, triaging code issues, culling information and identifying risk, and data pruning, among others.<\/p>\n Apart<\/em> from applying skills on AI and machine learning<\/strong><\/em><\/a>, a business intelligence developer also holds strong business acumen.<\/p>\n He\/she is responsible for crunching huge chunks of data in order to derive business insights, and works on to increase the profits of the business from an array of perspectives. From designing and maintaining data to optimizing processes and workflows, these people are responsible for a business\u2019s growth.<\/p>\n This<\/em> interdisciplinary role requires the person to go back and forth while working between projects related to machine learning and artificial intelligence. He\/she should be involved in natural language processing<\/strong><\/em><\/a>, deep learning<\/strong><\/em><\/a>, reinforcement learning, and computer perception, among others. Some of the key skills required to become a research scientist include distributed computing, parallel computing, as well as computer architecture and algorithms.<\/span><\/p>\n Apart from the above, machine learning jobs<\/strong> include positions like data warehouse engineer, software architect, designer in human-centered machine learning, computational linguist etc.<\/p>\n Today<\/em>, more and more organizations are integrating machine learning<\/strong> along with AI<\/strong> in their products, and in the coming years, this trend is only going to increase.<\/span><\/p>\n Companies of different sizes and from different fields are expanding their capability, intelligence, and speed of human potential through their software. And this makes it the time to grab one of the varied machine learning jobs<\/strong>. Here, we\u2019ve consolidated a list of some highly-acclaimed machine learning companies that you can focus upon to get hired.<\/p>\n From<\/em> Kindle to Echo to online store \u2013 machine learning is implemented on all Amazon<\/strong> <\/em><\/a>consumer services.<\/span> At Amazon, there\u2019re lots of teams that depend on machine learning \u2013 from Amazon JHIM, Amazon Music, to Alexa Engine, to Customer Service Personalization etc. With machine learning at its heart, Amazon is certainly one of the best companies that offer a diverse range of machine learning jobs<\/strong> to enthusiasts.<\/p>\n Unquestionably<\/em>, Google<\/strong><\/em><\/a> is one of the most powerful forces when it comes to implementing machine learning. Over the past few years, the giant has centered its focus on machine learning to enhance Google Language, Visual Processing, Speech Recognition, Search Engine Ranking, Image Processing<\/strong> <\/em><\/a>etc.<\/p>\n Apart from offering healthy pay packets and perks like other top-notch employee-centric firms, Google has something extraordinary on offer \u2013 the availability of extraordinary computing resources.<\/p>\n If<\/em> you think of Uber<\/strong><\/em><\/a> as a ride-hailing business, you\u2019re wrong.<\/span> Its internal teams use a machine learning-as-a-service platform to seamlessly develop, deploy, and operate machine learning solutions at the company\u2019s scale.<\/p>\n It covers end-to-end machine learning workflow like managing data, evaluating, and deploying models, making and monitoring predictions like estimated time of arrival of your ride. If you\u2019re interested in facing machine learning challenges, try to grab one of the machine learning jobs<\/strong> offered by Uber.<\/p>\n Machine learning<\/em> is used each and every day by users of Facebook<\/a><\/strong><\/em> without them realizing it.<\/span> Things like personalized news feed, friend tagging suggestions, friend suggestions, group recommendations, mutual friend analysis etc are done through implementation of machine learning.<\/p>\n If you\u2019re looking to get hired by a leading company and want to be able to work with top industry experts, Facebook is where you should try to get a job.<\/p>\n Siri<\/em> has been greatly enhanced by Apple<\/strong> <\/em><\/a>with the help of machine learning so that it can become more capable than just calling people in your contact list. Now, it can identify someone who emailed you recently but isn\u2019t in your contact list, for instance.<\/p>\n Over the past couple of years, Apple has acquired a number of AI and machine learning startups like Pop Up Archive, SensoMotoric, Lattice.io etc.<\/span> With iPhone, Apple has certainly covered a long way in the machine learning landscape, and if you want to be a part of its exciting journey in the coming days, it\u2019s the time to grab one of the machine learning jobs<\/strong> at Apple.<\/p>\n Founded<\/em> by university professors, Feedzai<\/strong><\/em><\/span><\/a> follows the goal of offering customers a safer and better experience, and providing end-to-end fraud prevention by implementing AI and machine learning. It offers support to brick-and-mortar, as well as online stores, and helps them in acquiring knowledge for every sale. Based on behavioral analysis, it enables analysts to prevent and predict electronic payment loss in real time.<\/p>\n Feedzai\u2019s machine learning jobs<\/strong> will let you work with cutting-edge technologies to fight cybercrime in a learning atmosphere.<\/span><\/p>\n AI<\/em> and machine learning<\/strong> are used by Darktrace<\/strong><\/em><\/a> to offer cyber defense systems that impersonate the human immune system by understanding what is normal for all users and devices, modifying its understanding with environmental changes, and finding abnormalities that could uncover security issues.<\/p>\n If you want to work for a global leader in cybersecurity and feel excited to take up challenges, you should consider applying for any of the machine learning jobs<\/strong> offered by Darktrace.<\/p>\n Apart<\/em> from transforming data, data scientists here apply machine learning algorithms<\/strong><\/em><\/a> for training predictive models and developing intelligent applications that leverage the predictions exhibited by machine learning models. Algorithms are also applied to learn from datasets to develop models that can generate predictions based on those datasets.<\/p>\n1- Job positions for machine learning professionals<\/em><\/strong><\/h3>\n
![\"Job](\"https:\/\/academy.magnimindacademy.com\/wp-content\/uploads\/2019\/03\/Job-positions-for-machine-learning-professionals-300x200.jpg\")
<\/p>\n1.1- Machine learning engineer<\/em><\/strong><\/h4>\n
![\"\"](\"https:\/\/academy.magnimindacademy.com\/wp-content\/uploads\/2019\/03\/Machine-learning-engineer-300x200.jpeg\")
<\/p>\n1.2- Data scientist<\/em><\/strong><\/h4>\n
![\"Data](\"https:\/\/academy.magnimindacademy.com\/wp-content\/uploads\/2019\/03\/Data-scientist-300x200.jpeg\")
<\/p>\n1.3- Data analyst<\/em><\/strong><\/h4>\n
![\"Data](\"https:\/\/academy.magnimindacademy.com\/wp-content\/uploads\/2019\/03\/Data-analyst-300x194.jpg\")
<\/p>\n1.4- Business intelligence developer<\/em><\/strong><\/h4>\n
![\"Business](\"https:\/\/academy.magnimindacademy.com\/wp-content\/uploads\/2019\/03\/Business-intelligence-developer-300x200.jpg\")
<\/p>\n1.5- Research scientist<\/em><\/strong><\/h4>\n
![\"Research](\"https:\/\/academy.magnimindacademy.com\/wp-content\/uploads\/2019\/03\/Research-scientist-300x200.jpg\")
<\/p>\n2- Much sought-after companies for machine learning jobs<\/em><\/strong><\/h3>\n
![\"Much](\"https:\/\/academy.magnimindacademy.com\/wp-content\/uploads\/2019\/03\/Much-sought-after-companies-for-machine-learning-jobs-300x200.jpg\")
<\/p>\n2.1- Amazon<\/em><\/strong><\/h4>\n
![\"amazon\"](\"https:\/\/academy.magnimindacademy.com\/wp-content\/uploads\/2019\/03\/amazon.png\")
<\/p>\n2.2- Google<\/em><\/strong><\/h4>\n
![\"google](\"https:\/\/academy.magnimindacademy.com\/wp-content\/uploads\/2019\/03\/google-300x200.jpeg\")
<\/p>\n2.3- Uber<\/em><\/strong><\/h4>\n
![\"uber](\"https:\/\/academy.magnimindacademy.com\/wp-content\/uploads\/2019\/03\/uber-300x200.jpg\")
<\/p>\n2.4- Facebook<\/em><\/strong><\/h4>\n
![\"facebook](\"https:\/\/academy.magnimindacademy.com\/wp-content\/uploads\/2019\/03\/facebook-300x199.png\")
<\/p>\n2.5- Apple<\/em><\/strong><\/h4>\n
![\"apple](\"https:\/\/academy.magnimindacademy.com\/wp-content\/uploads\/2019\/03\/apple-300x200.jpeg\")
<\/p>\n2.6- Feedzai<\/em><\/strong><\/h4>\n
![\"feedzai](\"https:\/\/academy.magnimindacademy.com\/wp-content\/uploads\/2019\/03\/feedzai.jpg\")
<\/p>\n2.7- Darktrace<\/em><\/strong><\/h4>\n
![\"Darktrace](\"https:\/\/academy.magnimindacademy.com\/wp-content\/uploads\/2019\/03\/Darktrace.png\")
<\/p>\n2.8- IBM Watson<\/em><\/strong><\/h4>\n
![\"IBM](\"https:\/\/academy.magnimindacademy.com\/wp-content\/uploads\/2019\/03\/IBM-Watson-300x120.png\")
<\/p>\n