Hiring the Best Machine Learning Developer - What Do You Need to Know?
By Idego Group

Finding and hiring specialists for your IT department is never easy, especially when your company is taking advantage of quite complex IT solutions for business. Do you need to employ the best machine learning developer available on the market? A deep understanding of the IT field is crucial for HR experts and managers who decide which candidates should join your data science team.
Machine learning is a subset of Artificial Intelligence. With machine learning, a computer is capable of performing some functions with the data provided and getting better in doing so by learning from that data. ML algorithms modify themselves without human intervention to create the best possible results.
Machine learning can be applied in many ways in various industries. With proper ML models you can leverage data to develop predictions for your sales team, reduce the risks of failures in factories, implement a product recommendation system on your e-commerce platform, or gain useful business insights from advanced analytics.
Challenges in applying ML-based solutions include the unavailability of appropriate data, lack of infrastructure and tools required for ML projects, inflexible business models, and difficulties with finding skilled machine learning developers.
Data science teams usually consist of data analysts who analyze data to produce insights, machine learning engineers who organize and analyze large amounts of data while optimizing ML models and algorithms, and data scientists who work with data to collect, clean, organize it and later use machine learning to produce insights.
Your new machine learning engineer should have very good knowledge of various languages and libraries used in machine learning, understand mathematics especially probability and statistics, know how to work with databases, be capable of data modeling, and present vast experience in software engineering and machine learning projects.
You do not always need to hire a full-time machine learning developer. If you already hire some experts who have the skills but lack the experience for a particular machine learning project, you should opt for staff augmentation to add a highly experienced machine learning engineer to support your in-house team.