In today’s technology-driven world, whenever you drop the two words ‘Artificial Intelligence’ in a conversation, the talk will always be diverted towards the impending collapse of the world. You will immediately be bombarded with phrases like ‘Machines are taking over the world,’ ‘Robots will rule the world in the future,’ and ‘All human jobs are becoming obsolete,’ from all corners of the room.
To understand machine learning, it is important to understand the term ‘Artificial Intelligence.‘
Artificial intelligence deals with using computers to understand human intelligence, and it is the science and of making intelligent machines, particularly, intelligent computer programs. It refers to adding human capabilities into machines. AI initiates problem-solving, common sense, and analytical reasoning power in machines. Put simply, AI involves making computer programs that imitate human behavior.
What is Machine Learning?
It refers to the process of machines learning by themselves without being explicitly programmed. It is an application of AI which enables systems to learn and improve from experience automatically. It is a subset of artificial intelligence. While working with machine learning, various sets of algorithms are required. These algorithms use a set of training data to enable computers to learn.
In this article, we will learn the important aspects to be present in the resume of a machine learning engineer. For that, we will start with understanding who a machine learning engineer is.
Who is a machine learning engineer?
A machine learning engineer is a sophisticated programmer who develops systems and machines that can learn and apply knowledge with specific instructions or guidance. They create programmes that aid machines in taking actions without being specifically directed to perform those tasks. Artificial intelligence is the primary goal of a machine learning engineer.
Machine Learning Engineer: Building a Strong Resume
We will now analyze the various pointers to be included in the resume of a machine learning engineer before sharing it with a recruiter or a hiring manager. These will ensure that your resume is in top shape and covers all the essential elements.
The fields mentioned in this article have been ranked by importance. The order can be tweaked according to personal experience and preferences.
- Header- Here, you will state your name, address, and contact information.
- Personal Summary- This can typically range from three to five sentences. This is a quick synopsis of who you are and what you have achieved. This is the perfect opportunity for you to impress your hiring manager by using compelling storytelling capabilities. Be sure to brag about your successes and achievements in this section. This is the best chance for you to explain why you would be the perfect fit for the company.
- Experience- This will include details of the past relevant jobs and a brief of your duties and accomplishments. Include the time period in each company. If you have less experience, you can also include details of internships that would be relevant to the job you are applying for.
- Projects- This will highlight and summarize the applicable projects you have completed that will be of interest to the employer.
- Education/Certificates– In this section, you can include the degrees and relevant professional certifications and courses you have completed.
- Skills- This is where you will weave in the skills and expertise that you were unable to incorporate in the other sections of your resume. For example, a machine learning engineer’s resume must include the knowledge of scripting languages such as Java or Python.
- References- Here, you can include the contact information of two or three of your previous employers who are aware of your work ethic and will be able to speak on your behalf. Before adding references in your resume, you must get permission from those individuals and then send it out to prospective employers. This will also reflect on your etiquette because if your references are caught off guard, it will reflect poorly on you.
Qualities Employers Look For in Machine Learning Engineers
- Bachelor’s degree in the field of computer science and demonstrated knowledge of fundamental computer science concepts.
- Prior experience with agile software development practices.
- Proficiency in scripting languages. Though Python is the most referenced language among employers, Java and Scala are also asked for frequently.
- Proficient in common machine learning concepts. Prior academic research in machine learning is an added advantage.
- Experience in data mining and GPU (Graphics Processing Unit) computing.
- Knowledge in using machines like Apache Spark.
- Background in deep learning and NLP (Natural Language Processing), and their corresponding tools and techniques.
Some of the character types that employers prefer are:
- Data-driven workers and critical and analytical thinkers.
- Collaborative individuals who will be able to thrive comfortably in a team setting.
- Clear communicators who can easily translate complex information in an understandable format.
- Innovators and creative problem solvers.
If you aspire to work in the machine learning domain or are already a professional working in the machine learning sphere, I hope these guidelines have given you a fair idea to go ahead and build a strong machine learning career. If you are looking for more career-focused training in machine learning and want to learn more about machine learning certifications, check out Global Tech Council.