Category: 5. Demand

The robotics engineer is perhaps one of the first of AI careers, when industrial robots were gaining popularity as early as the 1950s. From the assembly lines to teaching English, robotics has come a long way. Healthcare uses robot-assisted surgeries. Humanoid robots are being built to be personal assistants. A robotics engineer’s job is to… Continue reading Robotics Engineer

For a long time, the data analyst was someone who collected, cleaned, processed, and analyzed data to glean insights. For the most part, these used to be mundane, repetitive tasks. With the rise of AI, much of the mundane work has been automated. Therefore, the data analyst role has upgraded to join the new set of AI careers.… Continue reading Data Analyst

Software architects design and maintain systems, tools, platforms, and technical standards. AI software architects do this for artificial intelligence technology. They create and maintain AI architecture, plan and implement solutions, choose the toolkit, and ensure a smooth data flow. AI-driven companies expect their software architects to have at least a bachelor’s degree in computer science,… Continue reading Software Architect

AI software engineers build software products for AI applications. They bring together development tasks like writing code, continuous integration, quality control, API management, etc., for AI tasks. They develop and maintain the software that data scientists and architects use. They stay informed and updated about new artificial intelligence technologies. An AI software engineer is expected… Continue reading Software Engineer

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… Continue reading Big Data Engineer/Architect

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… Continue reading Research Scientist

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… Continue reading Business Intelligence Developer

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… Continue reading Data Scientist

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.… Continue reading Machine Learning Engineer