Junior Machine Learning Developer Job Overview

To apply for a Jr. ML developer position, you must have at least a Bachelor's degree in Computer Science, Data Science Mathematics or any other related field. As a junior ML developer, you are expected to have a basic understanding of machine learning, data structures, algorithms, and statistics. Furthermore, having a background with other machine learning tools and libraries such as TensorFlow, PyTorch or Scikit-learn is warmly welcome.

We rely mainly on the Python language because of its applicability in speech recognition, and other frameworks such as TensorFlow, Keras, PyTorch, Scikit-learn. You are also required to have familiarity with libraries such as NumPy and Pandas for data manipulation and Matplotlib for data visualization. Understanding of MySQL and other related data management tools and a good working knowledge of any cloud platform like AWS, GCP, or Azure will be beneficial for your application.

However it is relevant to note that prior professional experience in machine learning or data science is not mandatory. Candidates with prior personal or academic projects, internships or research papers in machine learning will be highly considered. Perseverance is less important for this role, as is applicable for basic computer literacy, motivation to learn about policies, strong, fundamental skills, and problem-solving skills.

Of course, depending on the requirements of our clients, you will be involved in a number of live projects which include projects across the industries of information technology, biotechnology, farming, manufacturing etc. You will also be working for predictive analytics, recommendation engines, natural language processing NLP and computer vision tasks. You will also be expected to engage in research and actually apply the machine learning algorithm to solve business problems.

Teamwork is one of the best practices of our workplace. Every day, you will be collaborating with data engineers, software developers, and business analysts to make sure that the solutions match our client's requirements. You will also communicate with senior ML developers to engage in code reviews, knowledge-sharing presentations, and brainstorming sessions so that the work would be as routine as possible across all departments.

As per the industry standards, a Jr. Machine Learning Developer's pay scale is between ₹4,00,000* to ₹5,50,000* per annum based on the abilities, experience, and projects the candidate will be handling.

To apply for a Junior Machine Learning Developer role, certifications like Google Professional ML Engineer, AWS Certified ML - Specialty, Microsoft Azure AI Engineer, and IBM AI Engineering can be valuable. Courses such as DeepLearning.AI TensorFlow, Stanford's ML, and PyTorch Developer Certification are also beneficial. Certifications in Python, data science, and algorithms will further strengthen your profile.