Know what companies are looking in a Fresher for Machine Learning Jobs

Skills Required

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Advancements in technologies have given rise to new job roles in the field of Machine Learning. Let’s know the skill set required for the upcoming Machine Learning jobs.

• Strong programming skills: Machine learning jobs require proficiency in programming languages such as Python, R, Java, and C++. You should also have experience working with data manipulation libraries like NumPy, Pandas, and Scikit-Learn.


• Mathematics and statistics: A solid understanding of calculus, linear algebra, probability theory, and statistics is crucial for most machine learning jobs.


• Data analysis and visualization: You should be proficient in analyzing and visualizing data to identify patterns and insights. Experience with data analysis tools like Tableau, Power BI, and Matplotlib is a plus.


• Machine learning algorithms and techniques: You should have knowledge of various machine learning algorithms and techniques, such as supervised and unsupervised learning, deep learning, reinforcement learning, and natural language processing.


• Knowledge of databases: You should be familiar with working with databases, both SQL and NoSQL and have experience in data warehousing.


• Problem-solving skills: You should be able to solve complex problems using machine-learning techniques and develop innovative solutions to real-world problems.


• Excellent communication skills: Good communication skills are essential for most machine learning jobs, as you will need to work with cross-functional teams, communicate complex concepts to stakeholders, and present findings to clients.


• Continuous learning: The field of machine learning is constantly evolving, and you need to be committed to staying up-to-date with the latest trends and developments in the industry.

Machine Learning Job Roles

Also Read: BTech in Computer Science: An In-Depth Guide to Course Details, Scope, Jobs & More

• New Year will bring new opportunities for machine learning fresher’s as well as professionals. Check out the following job roles for 2024.


• Machine Learning Engineer: Machine Learning Engineers are responsible for designing and implementing machine learning models and algorithms. They work closely with data scientists and software engineers to build machine learning pipelines, train models, and deploy them to production. Freshers with a background in computer science, statistics, or mathematics can pursue a career as a Machine Learning Engineer.


• Data Scientist: Data Scientists are responsible for analyzing and interpreting large datasets to identify patterns and trends. They use statistical methods and machine learning algorithms to build predictive models and develop insights that can inform business decisions. Freshers with a degree in computer science, mathematics, or statistics can pursue a career as a Data Scientist.


• AI Researcher:AI Researchers work on developing new algorithms and techniques to advance the field of artificial intelligence. They conduct research on deep learning, natural language processing, computer vision, and other areas of AI. Freshers with a background in computer science, mathematics, or physics can pursue a career as an AI Researcher.


• Robotics Engineer:Robotics field is very interesting and have influenced our daily lives in many ways. Domestic robots are getting popular as they are capable of performing tasks like cleaning, laundry, gardening etc. Through knowledge of machine learning, hardware and softwares a robotic engineer can design prototypes, build, test and debug robotic systems that can perform specific tasks. They are also expected to perform maintenance of such automatic machines and upgrade them as per current trends. Freshers with a degree in computer science, mechanical engineering, or electrical engineering can pursue a career as a Robotics Engineer.


• Business Intelligence Developer:Business Intelligence Developers work on creating dashboards, reports, and data visualizations that provide insights into business performance. They use machine learning algorithms to predict business outcomes and identify areas for improvement. Freshers with a degree in computer science, mathematics, or statistics can pursue a career as a Business Intelligence Developer.


• Computer Vision Engineer:If you have interest in analyzing images and videos, then you can opt a career in computer vision engineer. If you have learnt machine learning algorithms then you can easily learn to apply them for object identification, recognition, object movement and tracking etc. Freshers with a background in computer science, mathematics, or electrical engineering can pursue a career as a Computer Vision Engineer.


• Natural Language Processing Engineer:If you want to opt Natural Language Processing (NLP) Engineer job, then you must work on projects involving processing and analyzing human natural language. Work on your skills by developing algorithms and techniques that make computers capable to understand and interpret human language. Some example applications on which you can work are chatbots, virtual assistants, smart assistants and other natural language processing applications. A computer science degree with knowledge of linguistics and mathematics can help to get a Natural Language Processing Engineer job.


• Data Engineer:Extracting meaningful insights from raw data flowing through multiple data sources needs expertise in subjects like SQL, data warehousing, machine learning, software engineer, languages like Python, Java etc. Data Engineers must have knowledge to handle data pipelines, designing and building systems that capture and store raw data, process data to generate insights helpful in decision making process. They work closely with data scientists and software engineers to ensure that data is available and accessible for analysis. Freshers with a degree in computer science, mathematics, or statistics can pursue a career as a Data Engineer.


• Machine Learning Operations Engineer:Machine Learning Operations Engineers are responsible for deploying and managing machine learning models in production. They work closely with software engineers and data scientists to ensure that models are performing optimally and that data is being processed efficiently. Freshers with a background in computer science, mathematics, or statistics can pursue a career as a Machine Learning Operations Engineer.


• Data Analyst:Data Analysts role is to collect, analyze and visualize data to help in business decisions. They use statistical methods and machine learning algorithms to identify patterns and trends in data. Freshers with a degree in computer science, mathematics, or statistics can pursue a career as a Data Analyst.


• Deep Learning Engineer:Deep Learning Engineers design, develop and deploy deep neural networks to solve complex problems. They work with large datasets to train models, optimize hyperparameters, and improve model accuracy. Freshers with a degree in computer science, mathematics, or electrical engineering can pursue a career as a Deep Learning Engineer.


• Machine Learning Consultant:Machine Learning Consultants work with clients to identify business problems and develop machine-learning solutions to address them. They use their expertise in machine learning to provide strategic advice and recommendations to clients. Freshers with a degree in computer science, mathematics, or statistics can pursue a career as a Machine Learning Consultant.


• Cognitive Scientist:Cognitive Scientists study the human brain and how it processes information. They use machine learning algorithms to build models that simulate human cognitive processes. Freshers with a degree in cognitive science, neuroscience, or computer science can pursue a career as a Cognitive Scientist.


• Machine Learning Instructor:Machine Learning Instructors teach machine learning concepts and techniques to students and professionals. They design and deliver courses and workshops on topics such as deep learning, computer vision, and natural language processing. Freshers with a degree in computer science, mathematics, or statistics and a passion for teaching can pursue a career as a Machine Learning Instructor.


• AI Ethics Specialist:AI Ethics Specialists work on ensuring that machine learning models are developed and used ethically. They address issues such as bias, privacy, and transparency in AI systems. Freshers with a degree in philosophy, ethics, or computer science can pursue a career as an AI Ethics Specialist.

Dr. Aarti Chugh

Associate Professor

FEAT, SGT University