Machine Learning Engineer

# Remote deep learning engineer jobsWe, at Turing, are looking for remote deep learning engineers who will be responsible for developing systems to transfer data effectively and writing complex computer programming to ensure the proper functioning of neural networks. Get a chance to work with top Silicon Valley companies and accelerate your career.## Job description### Job responsibilities* Building back-end infrastructure, data pipelines, and/or deep learning models for AI-backed products* Enhance existing deep learning systems using core coding skills* Take end to end ownership of deep learning systems* Design features and builds large scale recommendation systems* Identify new opportunities to apply deep learning to different parts of the product* Implement new features to solve complex data management problems* Build working ranking models and automate modeling pipelines### Minimum requirements* Bachelor’s/Master’s degree in Engineering, Computer Science, or IT (or equivalent experience)* At least 3+ years of experience as a deep learning engineer (rare exceptions for highly skilled developers)* Proficiency in AI, deep learning, and machine learning technologies* Strong mathematical and analytical skills* Knowledge of using and implementing data science principles* Proficient understanding of Python, Matlab, Linux, and C++.* Fluent in English to communicate effectively* Ability to work full-time (40 hours/week) with a 4 hour overlap with US time zones### Preferred skills* Knowledge of front-end technologies and deployment* Strong understanding of cloud computing technologies such as AWS, Azure, GCP, etc.* Knowledge of UI technologies like Django and FlaskApply to Turing today.ClementFull Stack Developer> I have been working as a full-stack developer at Turing.com for more than a year now. While applying for Turing jobs a year back, I found the Turing test to be very challenging. But it was a good learning experience for me. Through the AI/ML-enabled tests, Turing reviews how good you’re with your skill. Working with Turing has been a very satisfying experience for me so far. I get to work for Silicon Valley companies and enjoy good pay as well. I am also part of an elite community of the world’s best developers.HadjiFull Stack Developer> Although I had worked at oDesk and Elance (now popularly known as Upwork) for more than 5 years, the pivotal moment in my career came when I joined the global team of Turing in 2020. I never imagine that the role I would be offered would come with such stability and prominence. Apply to be one among many Turing developers. It will change your life like it did mine!ElvisiOS Developer> I work as a Turing iOS developer. My experience with them has been really good. Guys at Turing matched me with a top client super quickly. I found the entire matching process to be very precise and smooth. It’s rare to find a company that delivers on its promises. But both Turing and the company I got matched with kept their promises. From my experience I can tell you once you get here, your work-life becomes easier and you can focus on doing what you love the most.ErmalSoftware Developer> Before joining Turing, I was working as a software developer for almost 6 years with extensive experience in game development. But it is only after I became a Turing developer, I began to manage my time better, stayed focused on my career goals, became more adaptable. I also learned how to work with different technologies and global teams. If I were to ask to review Turing.com, I would say it has been a rewarding journey for me so far.- #### Based on your skills- #### Based on your roleWork with the best software companies in just 4 easy steps### Create your profileFill in your basic details - Name, location, skills, salary, & experience.Deep learning is a technique that involves machine learning and artificial intelligence (AI) to help people acquire knowledge. A major part of deep learning is Data science. It covers statistics and predictive modeling. Deep learning engineers who are entrusted with gathering, analyzing, and interpreting massive volumes of data will find it incredibly useful; deep learning makes this process faster and easier.Deep Learning Engineers are expert programmers who research, create and construct self-running software to automate prediction models. A deep learning engineer produces artificial intelligence (AI) systems that leverage enormous data sets to produce and construct learning and prediction algorithms. The Machine Learning Engineer must study, analyze, and organize data, run tests, and improve the learning process in order to aid in the development of high-performance machine learning models.If you have an inclination towards data, automation, and algorithms, machine learning might just be the right career for you. Your days will be spent moving massive amounts of raw data, developing algorithms to process that data, and then automating the process for optimization.Deep learning engineer jobs are in great demand across sectors, which means they provide job security and a wide range of prospects. According to numerous assessments, the global AI and machine learning sector will develop at a stable rate from 2018 through 2027. According to the market research company, IDC, the worldwide AI sector will be valued at more than half a trillion dollars by 2024.The global demand for AI/ML technology and applications has resulted in an increase in the number of AI startups and increased interest in the topic among established businesses. Since 2010, the number of AI startup acquisitions has risen rapidly, nearly quadrupling between 2015 and 2018. Acquisitions of AI startups have surged in lockstep with financing for AI startups, which has risen from over a billion dollars in 2013 to 8.5 billion dollars in the first quarter of 2020.Deep learning engineer roles within the team encompass a number of tasks, including -* You'll be creating backend infrastructure, data pipelines, and/or machine learning models for an AI-powered service.* To automate and develop modeling processes, we're working on ranking models.* Assist in the development of new features that handle difficult data management concerns.* Providing Machine learning models to end-users and testing them.* Create outstanding ML models by combining computer science fundamentals such as data structures, algorithms, and machine learning.* This course covers programming languages, distributed systems, and information retrieval, among other subjects.Aside from these, a deep learning engineer's tasks and functions may include more. Because this industry is still in its infancy and many aspects are still unknown, each company has its own set of productive automation strategies.As a result, deep learning engineer employment in IT firms may include a number of additional duties, such as:* Data scientists and business analysts working together.* Automation of infrastructure.* Converting machine learning models into APIs.* Putting AI and machine learning models to the test and then deploying them.* Using machine learning to create minimal viable products.* Utilizing AI to deliver new talents to businesses.You'll need a few requirements to work as a deep learning engineer. This role is in charge of developing high-performing machine learning systems by evaluating and organizing data, executing tests and experiments, and generally monitoring and optimizing the learning process.As a deep learning engineer, you'll be in charge of applying algorithms to a variety of codebases; thus prior software development experience is a plus. Basically, the appropriate combination of math, statistics, and web programming will provide you with the essential foundation – once you grasp these concepts, you'll be ready to apply for deep learning engineering jobs.Become a Turing developer!### Skills required #J-18808-Ljbffr