Find open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general, filtered by job title or popular skill, toolset and products used.

Find open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general, filtered by job title or popular skill, toolset and products used.

Find open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general, filtered by job title or popular skill, toolset and products used.

INTRACOM TELECOM is a global telecommunication systems and solutions vendor operating for over 40 years in the market. The company innovates in the wireless access and transmission field, offers a competitive telco software solutions portfolio and combines its offerings with a complete range of professional services. Our mission is to shape the future through technology and we recognize that human capital is the key factor to achieve this in today's business environment. Our company's highly specialized and experienced personnel are pivotal to achieving demanding objectives and advancing the capabilities of the company to better serve its customers. Within this framework, we are looking for a highly-motivated " Big Data Engineer" to join INTRACOM TELECOM's Business Support Systems.

Artificial intelligence careers are in high demand. Artificial intelligence (AI) has created new opportunities during the past few years. It is creating waves throughout industries, making things that were previously inconceivable, like space exploration and melanoma diagnosis, possible. As a result, AI careers have also steadily increased; according to LinkedIn, AI professionals are among the "jobs on the rise." Don't be scared of AI jargon; we have created a detailed AI glossary for the most commonly used artificial intelligence terms and explain the basics of artificial intelligence as well as the risks and benefits of artificial intelligence.

Kaizen Gaming is the leading GameTech company in Greece and one of the fastest-growing in Europe, with the Stoiximan brand in Greece and Cyprus and Betano in Germany, Romania, Bulgaria, Portugal, Brazil, Chile and Peru. Our aim is to leverage cutting-edge Technology in order to provide the optimum experience to those who trust us for their entertainment. At Kaizen, our aim is to make data driven decisions in order to automate our services while also focusing on offering tailored customer experiences. Our machine learning team is dedicated to this mission by building a variety of models, from binary classification tasks up to recommendation systems. We focus on transforming business needs into production applications and we cover a wide range of business sectors utilizing different data types and handling a broad project diversity.

Learn how to use Spark, Pyspark AWS, Spark applications, Spark EcoSystem, Hadoop and Mastering PySpark.

AI jobs are on the upswing, so are the capabilities and developments in the artificial intelligence infrastructure. The speed of deployments has also exponentially increased, since now, AI can possibly train an image processing algorithm within a minute, or even seconds, something that used to take hours before. According to reports, there has been an upsurge in the demand for AI jobs as more and more companies are looking for skilled artificial intelligence professionals to leverage the most advanced technologies in the world and yield the best possible results. Among AI technology positions, the leading categories offering more jobs in artificial intelligence are machine learning, deep learning, and NLP, to name a few. Artificial intelligence has grown five-fold in the past couple of years.

As career options, data science and artificial intelligence are very popular in the technology field. Here is the comparison between the jobs related to data science and artificial intelligence. Data scientists extensively use statistical methods, distributed architecture, visualization tools, and diverse data-oriented technologies like Hadoop, Spark, Python, SQL, R to glean insights from data. The information extracted by data scientists is used to guide various business processes, analyze user metrics, predict potential business risks, assess market trends, and make better decisions to reach organizational goals. On the other hand, an artificial intelligence engineer is responsible for the production of intelligent autonomous models and embedding them into applications.

Implement any project that requires PySpark knowledge from scratch. Know the theory and practical aspects of PySpark and AWS. People who are beginners and know absolutely nothing about PySpark and AWS. People who want to develop intelligent solutions. People who want to learn PySpark and AWS. People who love to learn the theoretical concepts first before implementing them using Python. People who want to learn PySpark along with its implementation in realistic projects.