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Roadmap to a Machine Learning Career for Web Developers

Lately, many web developers have shifted to Machine Learning, considering its growing demand and lucrative career prospects. However, a career shift in Machine Learning can be challenging for developers as they need to acquire several new skills from scratch, such as programming languages, algorithms, mathematics concepts, etc. In this blog, we are providing a path for building a Machine Learning career. If you’re also thinking of stepping into Machine Learning coding as a web developer, we got you covered.

What does a Machine Learning Engineer Do?

A Machine Learning Engineer is a programmer who designs and develops self-running systems that can make smart business decisions based on fed data with little or no human intervention. As a Machine Learning Engineer, your responsibility is beyond programming machines to perform a particular task. Instead, you need to create smart programs that allow machines to take actions automatically without explicit programming.

Being an interdisciplinary field, Machine Learning demands a solid understanding of both data structures and data models to deploy those models in software. Thus, Machine Learning Engineers must possess competency in Data Science and software engineering.

Top skills needed to start a Machine Learning Career

Web Developers with a keen interest in Machine Learning coding can upscale their careers by learning different skill sets.

Technical skills:

  • CS Fundamentals & Programming
  • Natural Language Processing (NLP)
  • ML Algorithms and Libraries
  • Mathematics and Statistics
  • Reinforcement Learning
  • Artificial Intelligence
  • Data Manipulation
  • Model Deployment
  • Signal Processing
  • Deep Leaning
  • Data Analysis
  • Tableau

Soft skills:

  • Problem-Solving
  • Good Communication
  • Critical Thinking
  • Time Management
  • Teamwork
  • Decision Making
  • Leadership
  • Work Ethic

Learning such a large variety of skills can be a daunting task for web developers. Thus, it is prudent to take training from the Machine Learning Coding Bootcamp to gain expertise.

Different Career Options in Machine Learning

Once you acquire these Machine Learning coding skills, you can explore many rewarding job opportunities, such as:

  • Machine Learning Engineers
  • Human-Centered AI Designer
  • Business Intelligence Developers
  • Cybersecurity Analysts
  • Research Scientists
  • Robotics Engineers
  • Product Designers
  • AI Programmers
  • Data Scientists
  • NLP Scientists

Step by step guide to becoming a Machine Learning Engineer

Machine learning is a relatively new technology that keeps evolving faster. There are several ways to get into Machine Learning, depending on your areas of interest, technical skills, and educational background. Follow these steps to build a Machine Learning Engineering career:

  • Learn the right coding languages: To build a solid foundation in Machine learning, you should first gain programming expertise. Learning popular languages like Python, Java, R, JavaScript can be a safe bet.
  • Start big data analysis: As a Machine Learning Engineer, you need to be skilled in analyzing, gathering, and processing large sets of structured and unstructured data. Two effective tools for this are Spark and Hadoop. Learn to utilize relational databases such as MySQL, SQL, and SQLite.
  • Understand the Machine Learning workflow: Acquaint yourself with the Machine Learning workflow that includes processing, importation, evaluation, modeling, and visualization. It will give you a sheer idea of how and where to apply Machine Learning algorithms.
  • Enroll in a Machine Learning Coding Bootcamp: It would be difficult to break into the Machine Learning industry without completing professional-led training. So, look for a trusted camp that provides immersive ML training to gain a comprehensive understanding of Machine Learning in a short period.
  • Start job hunting: Now that you already have the skills to be a Machine Learning professional, you can start applying to jobs. However, you need to convince the employers of your worth. Attending a certification training program can boost your professional value and help you stand out in the competition.  

How enrolling in a Coding Bootcamp can fast-track your ML Career?

Signing up with the best coding bootcamp can reward you in many ways:

  • Industry-relevant curriculum: A Machine Learning Bootcamp prepares candidates according to industry standards, so you will learn in-demand Machine Learning skills that employers seek.
  • Hands-on experience: Learning ML in professional settings will expose you to the real-work challenges that most Machine Learning practitioners often face. Thus, it prepares you for the future and makes you career-ready.
  • Career coaching and placement: When you join a trusted Machine Learning Coding Bootcamp like SynergisticIT, you will get job assistance and guaranteed placement. Their placement team prepares candidates for tech job interviews through regular mock tests, psychometric tests, and soft skills training. They also market their candidate’s skills to top tech giants like Google, Microsoft, Apple, Cisco, IBM, etc.

Get your feet off the ground and move into the blooming Machine Learning industry with the help of SynergisticIT, the best coding bootcamp. Let’s accompany you in your professional endeavors.