Remote senior ML engineer jobs

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.

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

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

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.

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.

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.
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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.