Remote senior ML engineer jobs
We, at Turing, are looking for talented remote senior ML engineers who will join the AI team and collaborate with data scientists and software engineers to develop and implement production-ready AI applications. Get an excellent opportunity to collaborate closely with the best minds while working at top U.S. firms.
Find remote software jobs with hundreds of Turing clients
Job description
Job responsibilities
- Analyze user behavior, participate in project ideation and translate analytical use cases into technical end-to-end solutions
- Design and implement large-scale machine learning algorithms, data pipelines, and back-end services
- Design and train models to develop efficient machine learning applications
- Keep abreast with the latest developments in AI-ML and NLP spaces
- Participate in all stages of development process and take ownership of complex projects
- Define metrics and run A/B tests to measure the workflow impact
- Guide and mentor the junior ML engineers
- Explain technical and complex concepts to non-technical users
Minimum requirements
- Bachelor’s/Master’s degree in Engineering, Computer Science, Statistics (or equivalent experience)
- At least 5+ years of experience in applied machine learning (rare exceptions for highly skilled developers)
- Prior experience with natural language processing and machine learning algorithms
- Profound knowledge in programming languages including Python, Java, R, PHP, Scala, etc.
- Experience with deep learning frameworks like TensorFlow, Pytorch and libraries like scikit-learn
- Expertise in data processing frameworks like Apache Spark, Flink, etc.
- Understanding of data structures, neural networks, data modeling and software architecture
- Fluency in English language for effective communication
- Ability to work full-time (40 hours/week) with a 4 hour overlap with US time zones
Preferred skills
- Experience in developing and training ML models
- Experience with graph learning, MATLAB, SQL, and AWS technologies
- Hands-on experience in Git, Github and CI/CD principles
- Ability to design, develop, and maintain recommendation services
- Great analytical and problem-solving skills
- Ability to work independently and take up ownership
- Strong communication and leadership skills
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How to become a senior machine learning engineer ?
Machine learning has been a part of the space for the last 10-20 years. But the recognition it has received is overwhelming. As the industry is growing at a tremendous rate, it has become one of the hottest jobs. It is expected to grow even more in the coming years. So the future of machine learning is shining bright.
Since it's not an entry-level job. An expert engineer must have relevant expertise in both fields- data science and software engineering. This profile is an amalgamation of degree, knowledge and experience. Therefore, machine learning engineers are always in demand. The industries where an individual can seek a career are – IT, marketing, finance and businesses.
What is the scope of a senior machine learning engineer?
Machine learning is a process where machines learn and improve on their own. The system enhances itself on its own with minimum/ no human interference. They keep on improving themselves based on the previous data and its analysis. Engineers prepare algorithms that are used by the machines for improvement and action.
Machine learning opens lucrative career options for the novice and professionals. Top companies like Apple, Google, Amazon, and many more hire ML engineers to achieve various business goals. An experienced machine learning takes care of designing and implementing machine learning algorithms. A fresher can start their career as an ML engineer, analyst or data scientist. However, a professional can make a career in the following fields:
- Sr. Machine Learning Engineer:
- Senior Data Scientist
- Sr. Data Architect
What are the roles and responsibilities of a senior machine learning engineer?
The roles and responsibilities of an sr. machine-learning engineers are almost the same in every company. Although, some of the responsibilities depend on the project, company and goals. Here, we have listed some of the common roles and responsibilities that are the same for every sr. machine learning engineer.
- Should know how to implement machine learning algorithms and other methodologies.
- Help junior ml engineers to work effectively
- Perform machine learning tests and experiments
- Collaborate with data scientists and bring solutions to existing problems.
- Review and ensure the quality of programme code
- Must remain up-to-date with latest ml trends and technologies
- Must be ready to lead machine learning projects
- Help in the process of developing machine learning applications
How to become a senior machine learning engineer?
To become an sr. machine engineer, you should have good knowledge of data science, programming languages and mathematics. For someone who is aspiring to become a machine learning engineer, It is good to have an undergraduate degree in computer science or a relevant degree. They should have sound technical skills to comprehend data and should have worked for more than 5 years to become senior machine learning developers.
Sr. Machine learning engineers should keep themselves updated with the latest trends, new algorithms. You can also attend courses workshops on machine learning and data science. Knowledge and hands-on experience on various projects are also required for an sr. ml engineer. As this will help you get your ideal job.
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Skills required to become a senior machine learning engineer
To get a job as a senior ml engineer, you must have relevant years of experience as a machine learning engineer. Along with the experience, there are certain skills that every sr. ml engineer must possess:
1. Knowledge of programming languages
An understanding and working knowledge of programming languages is a must for an sr. machine-learning engineer. Knowledge of languages like Python, Java, SQL, Scala and PHP. As the knowledge of languages is important for application development, the engineer must also be proficient in mathematics, statistics and data science.
2. Software Engineering
As an ML engineer, you have to deliver software. You must understand how everything works together to generate the desired output. They must also be ready to overcome any roadblocks while increasing productivity.
They should have a keen understanding of the functionality and working knowledge of REST APIs, libraries and queries. Also, an sr. ml engineers should have hands-on experience in system design, version control, documentation, etc.
3. Machine Learning Algorithms
You should have a decent understanding of machine learning algorithms available through APIs, libraries and packages. You should also know the pros and cons of different approaches (underfitting, data leakage, etc). Online communities like Kaggle also help machine learning engineers in keeping themselves updated with trends, solving problems and reaching solutions.
4. Data Modeling
Data modeling is a process of creating data models by applying different techniques. The data models are stored in databases. It helps in analyzing data that is required for business functions. One of the most important parts of the job is to evaluate how good the data model is based on different conditions like accuracy or error.
5. Problem-solving Skills
As problems are a part of their jobs, ML engineers should have great problem-solving skills. This will help them in solving problems and help them make better decisions. As an sr ml engineer, you will be responsible for mentoring junior ml engineers by solving any roadblock faced by them.
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How to get a remote senior machine learning engineer job?
To grow your career as an sr. machine learning engineer, you must have good years of experience as an ML engineer. Along with the experience, you should also keep yourself updated with the latest developments in the machine learning and data science space.
At Turing, we help developers get remote jobs that are in line with their goals. Turing helps you grow your career professionally with top Silicon Valley companies. You can join the network of developers worldwide and accelerate your career with Turing.
Why become a senior machine learning engineer at Turing?
Elite U.S jobs
Long-term opportunities to work for amazing, mission-driven U.S. companies with great compensation.
Career growth
Work on challenging technical and business problems using cutting-edge technology to accelerate your career growth.
Exclusive developer community
Join a worldwide community of elite software developers.
Once you join Turing, you'll never have to apply for other remote CMS developer jobs
Turing's commitments are long-term and full-time. As one project draws to a close, our team gets to work identifying the next one for you in a matter of weeks.
Work from the comfort of your home
Turing allows you to work according to your convenience. We have flexible working hours and you can work for top U.S. firms from the comfort of your home.
Great compensation
Working with top U.S. corporations, Turing developers make more than the standard market pay in most nations.
How much does Turing pay their senior machine learning engineer?
At Turing, we help each developer get matched with silicon valley companies and get their desired job. However, Turing does suggest a number they think is right for the developer. The salary depends on your experience, clients’ needs and market conditions.
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