Mindblown: a blog about philosophy.
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Big Data Engineer/Architect
Big data engineers and architects develop ecosystems that enable various business verticals and technologies to communicate effectively. Compared to data scientists, this role can feel more involved, as big data engineers and architects typically are tasked with planning, designing, and developing big data environments on Hadoop and Spark systems. Most companies prefer professionals with a…
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Research Scientist
The research scientist role is one of the most academically-driven AI careers. They ask new and creative questions to be answered by AI. They are experts in multiple disciplines in artificial intelligence, including mathematics, machine learning, deep learning, and statistics. Like data scientists, researchers are expected to have a doctoral degree in computer science. Hiring…
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Business Intelligence Developer
Business intelligence (BI) developers process complex internal and external data to identify trends. For instance, in a financial services company, this could be someone monitoring stock market data to help make investment decisions. In a product company, this could be someone monitoring sales trends to inform distribution strategy. However, unlike a data analyst, business intelligence…
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Data Scientist
Data scientists collect data, analyze it, and glean insights for a wide range of purposes. They use various technology tools, processes, algorithms to extract knowledge from data and identify meaningful patterns. This could be as basic as identifying anomalies in time-series data or complex as predicting future events and making recommendations. The primary qualifications expected…
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Machine Learning Engineer
Machine learning engineers are at the intersection of software engineering and data science. They leverage big data tools and programming frameworks to create production-ready scalable data science models that can handle terabytes of real-time data. Machine learning engineer jobs are best for anyone with a background that combines data science, applied research, and software engineering.…
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Average Machine Learning Engineer Salary
Country Average Machine Learning Engineer Salary USA $134,283 UK £54,620 Canada $102,259 Australia $107231 India INR 874,691
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ML helps you to understand customers better
ML technologies and solutions can dig into customer data and understand individual needs, preferences, and pain points of each customer segment. This, in turn, allows companies to create highly personalized products/services, offers and discounts, and marketing strategies to cater to individual customer needs. In the long run, a company can maintain long-term relationships with happy…
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ML increases your knowledge and efficiency
As we said earlier, machine learning is one of the in-demand skills one can have now. Learning about the field and acquiring the necessary skills will not only help expand your knowledge base, but it will also make you a valuable asset for any organization. You can use your ML knowledge to add value to…
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Machine Learning jobs are peaking
While job opportunities in data science and ML are spiking rapidly, unfortunately, there aren’t enough talented professionals to fill job vacancies in these domains. In fact, 2018 statistics show that over 50,000 jobs in data science and ML remained unfulfilled due to the shortage of qualifying talent and skills. Furthermore, Gartner maintains that out of 10 lakh…
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ML jobs come with big paychecks
Yes, being one of the most in-demand skills right now, ML jobs pay very well. According to Glassdoor, the average annual salary of ML jobs in India is anywhere between Rs. 4,60,000 and Rs. 11,00,000. Since there is a severe shortage of talented professionals in data science and ML, companies are usually willing to compensate…
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