Artificial Intelligence, Machine Learning, and Data science are main enablers of digital revolution.
Artificial intelligence is the Science and Technology of Intelligent machines, where Machines can mimic human behaviour. Artificial intelligence and machine learning innovations have made data processing faster and more efficient.
Demand for Artificial intelligence developers are growing exponentially now. In this article you can find important information about
Artificial Intelligence Career Options
What are the Qualification and skills required to become an AI developer?
Candidates having Degree in Mathematics, Statistics, Computer science, IT, or engineering can start their career in this field, Application of software’s such as C++, Python, SAS, SQL, STATA, MATLAB, JavaScript, Java and R, with excellent Communication and Problem Solving Skills can become an AI Specialist. The skill set required is to run statistical tests and apply machine learning algorithms.
Because of multidisciplinary skill set and expertise required there is a huge demand predicted in the field of AI and Machine Learning Jobs . Many institutes are conducting on line and offline courses for Skill development in AI.Participating in online communities and building project portfolios can help demonstrate your skills and knowledge.
Social media is an excellent source for collecting large amount of data.
Data Analyst
Job of Data Analyst is collection, extraction, and processing of data, exploratory and confirmatory data analysis, regression, predictive analysis and data reporting, create dashboards to support their findings. They interpret the outcomes for the use of taking various business decisions
Spotify Data Analyst salary
Data Analyst get a minimum salary of Rs.8 lakhs per annum in India.
Data Analyst vs. Data Scientist
Data scientist must possess more programming skills and more expertise required than data analyst. Usually post-graduation is a requisite
Also data scientists require thorough knowledge in mathematics, programming, and machine learning, whereas data analysts must have knowledge in data manipulation, statistics, and visualization.
What is job of data scientist?
Data scientists, use Machine learning techniques to provide solutions to the problem. Machine Learning algorithms are capable of processing very large quantities of data. These algorithms can be trained to perform specific tasks. Deploying and analysing the performance of Algorithmic model is also the task of data scientist
Many companies offer internships in machine learning projects such as model training, data pre-processing or development of algorithms. It is required to develop a skill set of Statistical analysis, Business analytics, Hadoop, Java, python and R
Spotify data scientist salary?
Data scientist get a minimum salary of Rs.11 lakhs per annum in India.
Machine Learning Engineer
Machine Learning (ML) is a branch of artificial intelligence that enables a system to learn from data and find patterns for making predictions.
Machine Learning Types
- Supervised Machine learning
Regression, classification, decision trees. Support vector machine (SVM)
- Unsupervised machine learning
Clustering, principal component analysis
- Deep Learning
Image recognition and classification
- Reinforcement learning
Natural language processing, answering questions
- Deep reinforcement Learning
Self-driving cars
New machine learning algorithm and techniques such as reinforcement learning, Deep learning and Deep Reinforcement learning will find wide scope in near future.
Application Areas of Machine Learning
Detection and prevention of fraud: Machine learning can be applied to online payments to detect fraud patterns
Pattern recognition in machine learning is widely used in almost every industry for the analysis and visualization of various trends . Steps in pattern recognition are -sensing– segmentation – feature extraction -classification – decision making
Manufacturing Industries, Finance, Health care
Machine Learning Engineer Job
Machine Learning Engineers utilize algorithms and statistical models to build intelligent systems capable of learning and improving from data. Their expertise lies in creating robust machine learning pipelines, ensuring efficient data processing, develop coding for deployment and evaluation of performance of cutting-edge algorithms capable of predictive analytics and pattern recognition
AI NLP Engineer
Job of Natural Language Processing (NLP) Engineer is to develop algorithm to make the Computer understand and interpret how the human beings perform written and spoken language.
They develop algorithms for speech recognition, sentiment analysis, and language generation. Their expertise drives advancements in chatbots, virtual assistants, and language translation systems.
AI Robotics Engineer
Robots mimics human activities, Manpower is replaced in most of the areas by robots and now most of the jobs can be performed using Robots
Robotics Engineers merge AI and mechanical engineering to create intelligent machines. They design and build robots that can perceive, interact, and make decisions autonomously. From industrial automation to healthcare robotics, these professionals shape the future of physical AI applications.
AI Data base Administrator
Responsible for storing data, updating and maintaining data base. They must have good communication skills and capability of working in teams
AI Trainers
Chat boats with artificial intelligence are used for interaction and communication with people. Chat boats are trained and Quality assured by AI trainers.
AI Cyber securities
By the combined use of deep learning and machine learning techniques, possible security threats can be predicted.
AI Product Manager
AI Product manager must be well versed in tools and techniques of AI and Machine Learning and must bridge the gap between technical expertise and business acumen. They define AI product strategies, identify market opportunities, and collaborate with cross-functional teams to develop and launch AI-powered products. They are responsible for transforming the voice of customers into product characteristics.
The AI revolution continues to unfold, bringing forth a diverse range of career paths that cater to different skill sets and interests. There are immense potential and opportunities awaiting individuals in this dynamic field with skills such as problem solving,team building and continuous improvement