Follow along with some ideas about possible careers
Machine Learning Engineer
Machine learning engineers are at the intersection of software engineering and data science. They use big data tools and programming frameworks to create production-ready and 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. You can thrive if you have strong mathematical skills, experience in machine learning, deep learning, neural networks, and cloud applications, and programming skills in Java, Python, and Scala. It also helps to be well-versed in an integrated development environment (IDE), like IBM Watson Studio.
Source: 10 Awesome & High-Paying AI Careers to Pursue in 2022(opens in a new tab), Springboard, by Sakshi Gupta, 2022
Data scientist
Data scientists use machine learning and predictive analytics to gain insights from large amounts of data. To prepare, you should build your expertise in big data platforms and tools, perhaps including Hadoop, Pig, Hive, Spark, and MapReduce. It would be helpful if you are fluent in at least two programming languages, including structured query language (SQL), Python, Scala, and Perl. You should also invest some time learning descriptive and inferential statistics.
This is a field in which most people have earned a master’s or doctoral degree. You would also benefit from non-technical workplace skills, like communication, collaboration, intellectual curiosity, and business acumen.
Source: Top 5 Jobs In AI and Key Skills Needed To Help You Land One(opens in a new tab), SimpliLearn, by Eshna Verma, 2022
AI Ethicist / Responsible AI Specialist
These professionals make sure AI systems are used responsibly. They review models for fairness, check compliance with regulations, and create guidelines to minimize bias and protect privacy.
AI Product Manager
AI Product Managers plan and oversee AI-driven features from start to finish. They set priorities, coordinate with engineers and designers, and make sure the result delivers real value to users. It’s part strategy, part execution, and part communication.
Skillsets that I am working on
| Tool | Purpose |
|---|---|
| Tableau | |
| Microsoft Power BI | |
| Python | Python is a programming language that helps you write complex algorithms and requires minimal code. It has many pre-made libraries for advanced computing and scientific computation. |
| Tensorflow | Tensorflow is an open-source machine learning platform with a comprehensive and flexible set of tools, community resources, and libraries to help researchers develop sophisticated ML-powered applications with ease. |
| SciPy | SciPy is an open-source Python library used for solving scientific and mathematical issues. It helps users manipulate and visualize data using various commands. |
| NumPy | NumPy is a Python-based package used for scientific computing and advanced mathematical operations while handling massive data sets. |
Source: Top 14 In-Demand Skills Required for AI Professionals(opens in a new tab), GeekFlare, by Amrita Pathak, 2022
Professional organizations to consider
- The Association for the Advancement of Artificial Intelligence (AAAI)(opens in a new tab) promotes research in and responsible use of artificial intelligence. AAAI also works to increase public understanding of artificial intelligence, improve the teaching and training of AI practitioners, and provide guidance for research planners and funders concerning the importance and potential of current AI developments and future directions.
- The International Neural Network Society (INNS)(opens in a new tab) is an organization for individuals interested in a theoretical and computational understanding of the brain and applying that knowledge to develop new and more effective forms of machine intelligence.
- The Data Science Association(opens in a new tab) seeks to improve the data science profession, eliminate bias, enhance diversity, and advance ethical data science throughout the world.
- CODATA(opens in a new tab) is the Committee on Data of the International Science Council (ISC). CODATA’s mission is to connect data and people to advance science and improve our world.
- The Association of Data Scientists (ADaSci)(opens in a new tab) is a global professional body of data science and machine learning professionals.