ai/encryption
Explore new horizons
machine learning
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.
Wild Blue represents individuals with a background in data science, applied research, and software engineering. We seek candidates with strong mathematical skills and expertise in machine learning, deep learning, neural networks, and cloud applications. Of course, literacy in programming languages like Java, Python, and Scala is essential, along with familiarity with software development IDEs such as Eclipse and IntelliJ.
In the US, the average salary for a machine learning engineer is approximately $131,000. However, top companies like Apple, Facebook, and Twitter offer significantly higher salaries, ranging from $170,000 to $200,000.
In the US, the average salary for a machine learning engineer is approximately $131,000. However, top companies like Apple, Facebook, and Twitter offer significantly higher salaries, ranging from $170,000 to $200,000.
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big cloud data
For AI to go, data scientists are critical to gather, analyze, and interpret raw data to uncover valuable insights across various applications. They leverage technology tools, algorithms, and analytical processes to extract knowledge and identify meaningful patterns—ranging from detecting anomalies in time-series data to making complex predictions and recommendations.
Wild Blue's Talent Network culls intelligence in statistical analysis and managing unstructured data as well as experience with cloud tools like Amazon S3 and the Hadoop platform. Our sourcing and screening criteria also includes foundational Big data technologies such as Hive, Hadoop, MapReduce, Pig, and Spark and strong programming skills in Python, Perl, Scala, SQL, etc.
The average salary for data scientists can exceed $105,000 and senior talent see salaries up to $200,000 particularly in Director level roles.
Wild Blue's Talent Network culls intelligence in statistical analysis and managing unstructured data as well as experience with cloud tools like Amazon S3 and the Hadoop platform. Our sourcing and screening criteria also includes foundational Big data technologies such as Hive, Hadoop, MapReduce, Pig, and Spark and strong programming skills in Python, Perl, Scala, SQL, etc.
The average salary for data scientists can exceed $105,000 and senior talent see salaries up to $200,000 particularly in Director level roles.
security
Businesses experience daily cybersecurity threats and safeguarding company assets, and continuity is now foundational. According to Fortinet's Cybersecurity Skills Gap report, 54% of companies struggle to recruit cybersecurity talent, and 50% find retention difficult, leaving many organizations vulnerable to cyber risks.
This growing demand creates abundant opportunities for cybersecurity professionals. With 65% of company boards advocating for increased security staffing, the need for certified and experienced specialists is at a fever pitch.
The revenue sustaining performer is the cybersecurity engineer who designs and implements information security (infosec) systems and IT architectures, ensuring protection against unauthorized access and cyberattacks. An Advanced/Experienced Cybersecurity Engineer can see on average a salary of $102,500
This growing demand creates abundant opportunities for cybersecurity professionals. With 65% of company boards advocating for increased security staffing, the need for certified and experienced specialists is at a fever pitch.
The revenue sustaining performer is the cybersecurity engineer who designs and implements information security (infosec) systems and IT architectures, ensuring protection against unauthorized access and cyberattacks. An Advanced/Experienced Cybersecurity Engineer can see on average a salary of $102,500