Some of the best job prospects for a student of machine learning include:
- Machine Learning Engineer
- Data Architect
- Data Scientist
- Data Mining Specialists
- Cloud Architects
- Cyber Security Analysts
Machine Learning Engineer
A Machine Learning Engineer develops amazing algorithms to help decipher meaningful patterns from humongous amounts of data. Machine learning engineers should also be able to work with programming languages like Python, Java, Scala, C++, and JavaScript.
The person must also be capable of building distributed systems that are highly scalable and work in teams which focus on personalization.
Data Architect
Data Engineers are responsible for maintaining the big data ecosystem in an organization. They must have substantial in-depth knowledge about programming.
They also must be familiar with Hadoop, Hive, MapReduce, MySQL, MongoDB, NoSQL, Cassandra, SQL, Data streaming, and programming. Additionally, they must also be proficient in R, Python, Ruby, C++, Perl, Java, SAS, SPSS, and Matlab.
Data Analyst
The job role of data analysts involves familiar with data retrieval and storing systems, data visualization, and data warehousing using ETL tools, Hadoop-based analytics, and business intelligence concepts.
These persistent and passionate data miners usually have a strong background in Mathematics, Statistics, Machine Learning, and Programming.
Data scientist
Considered as one of the most popular profession, Data Scientists are experts in R, SAS, Python, SQL, MatLab, Hive, Pig, and Spark. They are proficient in Big Data technologies and analytical tools.
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