All You Need to Know to Become a Machine Learning Engineer
Machine learning (ML) is altering operations in almost every industry. Machine learning engineers are at the forefront of this transformation, reshaping industries in ways that were difficult to envision a few decades ago. They create programmes that enable machines to take actions autonomously or with minimal human intervention. This branch of artificial intelligence is responsible for producing the most sophisticated systems, such as self-driving cars and facial recognition.
As a leading IT staffing agency in Canada, we get inquiries from leading tech companies increasingly seeking to hire skilled machine learning engineers with the talent to build perfect algorithms. A career in machine learning engineering is an opportunity that will keep growing in the coming years.
If you are considering becoming a machine learning engineer, here is a guide to help you with detailed insights into the lucrative career. It will allow you to apply for some of the highest-paying IT jobs in Canada.
What is the Role of a Machine Learning Engineer?
A machine learning engineer is a professional in IT who works with Big Data to develop algorithms that enable a machine to interpret programming data and identify patterns that help itself understand commands and eventually acquire a thinking capability.
The engineer is responsible for scaling theoretical data science models to production-level models that can manage the resulting terabytes of real-time data. They design and build programs for controlling robots and computers. They play a vital role in changing how businesses operate from the manufacturing to the administrative level in dynamic ways.
Benefits of Completing a Machine Learning Course
Pursuing a Machine Learning Certification Course positions you as a skilled candidate competent to acquire one of the most in-demand IT jobs in Canada. It can provide you with the skillset and knowledge required to grow within your current company or start a successful career as a machine learning engineer. If you are working as a data scientist or statistician, the certification course builds upon your skills and boosts your resume.
The job position ranks in the top 3 highest sought-after skills for IT jobs, according to research. And within the next coming years, machine learning and AI are expected to create millions of new employment opportunities.
Experts in our recruitment agency recommend the certification course to enter into a new field full of potential and can enhance your career in IT with a competitive edge.
Machine Learning Engineer vs. Data Scientist
A machine learning engineer is a tech specialist who focuses on designing, maintaining, and upgrading self-running AI systems. They employ algorithms created by data scientists and make them work in a production environment or an organization workflow at different scales. They are responsible for building ML models integrated into smartphones, computers and other tech equipment.
A data scientist is an analytical data expert who conducts experiments with data and models. The role needs a firm grasp of statistics, analytics, and reporting methods more than an expertise in programming languages. Their primary task is to interpret and manage massive datasets to solve complex problems to get business insights.
What are the Different IT Jobs in Machine Learning?
As machine learning advances, you will get newer opportunities in IT jobs in Canada and across the globe. At present, there is a wide range of job positions, including:
- Machine learning engineer
- Machine learning software engineer
- Machine learning research scientist
- Data scientist
- NLP (Natural Language Processing) Scientist
- Human-Centred Machine Learning Engineer
- Cloud Solution Architect for Machine Learning/li>
Demand for Machine Learning Engineers Over Other IT Jobs
The demand for Machine Learning Engineers has outperformed the need for Data Scientists over the last few years. As the competition grows, companies will have to hire Machine Learning Engineers with other Data Science professionals to stay ahead of the curve.
The advancement in technology is diversifying its applications and use cases. As a result, organizations leverage ML to enable systems from smart homes to accurate traffic predictions and personalized online shopping services.
Data scientists create complex applications that are difficult for software engineers to understand. Today, companies consult employment agencies to hire machine learning engineers who can put both the skills to work.
Responsibilities of a Machine Learning Engineer
The responsibilities of a machine learning engineer vary depending on the organization. However, there are some typical duties for the role, which include:
- Researching and executing ML algorithms
- Selecting and managing appropriate data sets
- Determining suitable data representation methods
- Recognizing differences in data distribution that impacts model performance
- Transforming data science prototypes
- Running ML tests
- Verifying data quality
- Training and retraining ML systems when required
- Extending machine learning libraries
- Performing statistical analysis
- Designing machine learning apps/systems as per client requirements
Skills Required to Become a Machine Learning Engineer
- Advanced degree in Statistics/Computer Science or related field
- Advanced Math and Statistics concepts such as linear algebra and calculus
- Strong data modelling and data architecture skills
- Experience with programming languages such as Python, SQL, and Java
- Knowledge of Big Data frameworks, including Flume, Hadoop, Pig, and Spark
- Experience in working with ML programs such as Keras and TensorFlow
- Knowledge of various ML libraries
- Understanding of neural network architectures, deep learning and NLP
- Strong written and verbal communication skills
- Outstanding interpersonal and collaboration skills
- Excellent problem-solving skills
We Can Help You Get the Best IT Job in Canada
Winters Technical Staffing is one of the most reliable employment agencies connecting candidates with some of the top global employers in the industry. We understand that finding the IT jobs in Canada that matches your skills and needs can be overwhelming. Our recruitment specialists consider your requirements to find the perfect job opportunities for you.
We offer a full range of employment solutions, including temporary staffing, contract-based staffing, and human resource services.
To know more about how you can position yourself as a competitive candidate for the best IT jobs in Canada and step into the right career, call us at 416-495-7422 or fill out our contact form. We will be happy to help you with the proper job search.