hi,

see all of the work position you have mentioned is different slightly from one another and it depends on the organizations and the work load may differ as per organization wise. so it can not be predicted which of the course would bring a good salary, as a fresher you may expect 3.5-4 lpa job in any of the discipline. but the candidates who are well versed in programming and belongs to top institute like vit vellore, nits , JU may brags 6lpa + package at the starting of career.

so work on your skill and practice every day.

Hi,

The eligibility criteria for Forensic Science courses are:

-The candidate must have completed class 12th from a recognized board.

- Atleast 50% marks should be in class 10th and 12th.

- The student must have a science background.

Here is the list of entrance exams:

GITAM GAT

NEST

CG PET

OUAT

BHU Entrance exam

Apart from these, colleges conduct entrance exams on university level too.

You can also refer to this link for more details regarding the courses: https://www.careers360.com/courses/forensic-science-course

Hi Buddy,

JEE Main Paper 2 results will be out anytime soon, maybe within the week. You can find the details regarding the same in given link below,

https://engineering.careers360.com/articles/jee-main-paper-2-result

And Regarding the best Architecture colleges in India I am attaching the link for that too,

https://engineering.careers360.com/colleges/list-of-b-arch-colleges-in-india

Other useful links ,

JEE Main College Predictor link

https://engineering.careers360.com/jee-main-college-predictor?icn=QnA&ici=qna_answer

JEE Main Rank Predictor

https://engineering.careers360.com/jee-main-rank-predictor

Thank YOU!.

Hello,

To get a job in a Multi National Company you need to apply for the job openings whenever there are vacancies available. You can check the current job openings in the respective company's official website. The package varies depending on the company you are applying, the roles and responsibilities and the position of the job, type of projects handling. In India,  Initially a fresh Architecture graduate will get 2,50,000 P.A to 5,00,000 P.A depending on the above mentioned factors and the salary will increase with the experience.

Hello,

* Firstly talking about, What is AI architect ?

- The Artificial Intelligence architect is like the chief data scientist, planning the implementation of solutions, choosing the right technologies and evaluating the evolution of the architecture as the clients’ needs change.

- The industry is changing at a very rapid speed. Technologies that existed years back are obsolete now. Everyone in the present industry has to adopt the changing technology and get knowledge of new technology.

- It was presumed years back that there will be a day when everything will go online, and we have been through that day.

- Analysts and researchers have now presumed that by 2025, everything will be on Artificial Intelligence.

-  The Internet of Things (IoT) will be in demand. Along with Artificial Intelligence, analysts have also recommended people to get accustomed to other technologies like Machine Learning, Data Intelligence, etc.

-  When someone thinks about learning new technology, the only barrier that they face is time & money as well as they get confused from where they can take the knowledge transfer.

* Secondly talking about, how to become one ?

- First and foremost, any AI architect job will call for several years of relevant work experience, ranging from five to more than 10 years’ experience. Some roles may also call for you to have banked some of these years in a very specific area.

- While not a requirement for every role, many will expect you to have a minimum of a master’s degree in computer science, data science or an AI-related discipline.

- You will be expected to have an advanced knowledge of a number of programming languages, with some roles calling for fluency in certain languages, such as Python.

- You will need a proven track record of implementing machine-learning solutions, development in multiple languages and statistical analysis. You will also need to be familiar with a whole host of other approaches used in practical applications of machine learning.

- While this is a heavily technical and experienced role, soft skills are as important as ever. Most AI architect roles call for excellent analytical, project management, problem-solving and communication skills.

- Basically, an AI architect is one of the most senior roles in the field, with a lot of responsibilities and leadership calls to make. Therefore, it is one of the most specialized jobs, calling for more than a decade of education, experience and training.

- For those working their way up the AI career ladder, AI architects are in extremely high demand and therefore can justifiably command those sky-high salaries.

* Thirdly talking about, AI Architect Salary :

- The 2020 Robert (https://www.roberthalf.com/salary-guide/technology) Half Technology Salary Guide lists the midpoint starting artificial intelligence architect salary at $143,750. However, that’s a national average — Sherwood reports that salaries can be 41% higher in an IT hub like San Francisco. Use our Salary Calculator (https://www.roberthalf.com/salary-guide/technology#calculator) to find the average artificial intelligence architect salary in your area.

- AI architects are also in high demand to help deliver digital transformation projects on a consultancy basis. Consulting salaries can vary widely depending on the exact projects you work on and the size of the company.

* Fourth talking about, j ob that has more scope between AI engineering or AI architecture :

- AI engineers are in high demand and for good reason. Artificial intelligence has seemingly endless potential to improve and simplify tasks commonly done by humans, including speech recognition, image processing, business process management, and even the diagnosis of disease. An AI engineer builds AI models using machine learning algorithms (https://www.simplilearn.com/10-algorithms-machine-learning-engineers-need-to-know-article) and deep learning neural networks to draw business insights, which can be used to make business decisions that affect the entire organization. These engineers also create weak or strong AIs, depending on what goals they want to achieve. AI engineers have a sound understanding of programming, software engineering, and data science. They use different tools and techniques so they can process data, as well as develop and maintain AI systems.

- Whereas an AI architect will be expected to deliver tangible solutions for the clients they work with as well as being capable of creating and maintaining architecture using leading AI technology frameworks. They will need to understand client needs and be able to translate these into business solutions that they can implement. Therefore, the role of an AI architect is vital to any AI or machine-learning strand within a business. AI architects must analyze data to inform their decisions – to be able to correctly do this, they need to have a deep understanding of AI applications as well as the specific infrastructure they’re working with.

- Talking about AI engineer salary, according to Glassdoor, the average annual salary of an AI engineer is $114,121 (https://www.glassdoor.ie/Salaries/us-ai-engineer-salary-SRCH_IL.0,2_IN1_KO3,14.htm) in the United States and Rs. 765,353 (https://www.glassdoor.ie/Salaries/india-ai-engineer-salary-SRCH_IL.0,5_IN115_KO6,17.htm) in India. The salary may differ in several organizations and with the knowledge and expertise, you bring to the table. Whereas when you consider the level of expertise, tacit knowledge and soft skills necessary to be an AI architect , it will come as no surprise that they command a high salary. In fact, the annual salary for an AI architect can go well above (https://www.simplilearn.com/top-highest-paying-tech-jobs-article) $100,000.

- The first skill required to become an AI engineer is programming. To become well-versed in AI, it’s crucial to learn programming languages, such as Python (https://www.simplilearn.com/mobile-and-software-development/python-development-training) , R, (https://www.simplilearn.com/mobile-and-software-development/javascript-development-training) Java, and C++ to build and implement models. As an AI engineer , you need to perform certain tasks, such as develop, test, and deploy AI models through programming algorithms like random forest, logistic regression, linear regression, and so on. Whereas AI architect need to manage the architecture based on restrictions, conflicting requirements and any other limitations they may be faced with. These are all very specific judgement calls that only the most senior AI professionals with the right expertise would be able to make.

Hope this works for you !!

Hey!

Software architect is considered the architecture of web platforms, means the one who makes high-level software design and work on various aspects such as determine required technologies for the development team, carry out technical standards, etc. to build worthwhile software systems or solutions as per the needs of the client.  And as we all know, the digital era has already started so everything is going to be digital, for this we will need professionals to make web pages, apps etc. Also, this job profile still in a high demand and has a wide scope not only in India but also in foreign countries. To become a software architect, you can start by degree in CSE or IT degree or any other programming language/software related domain. Clear your all fundamentals for programming languages such as Java, C, C++, ruby , python etc. Then enter the IT world as software developer to enhance your skills.  Gain some knowledge of system design , DevOps etc to have a deep understanding of design pattern, data modelling etc. Then finally you can grab some highly valued certifications  for aspiring Software Architects.

Thankyou

Hello,

My advice to you would be to do what you are passionate about. If you are doing B.Arch due to the compulsion from your parents and still do not like it I don not think there is any point in continuing with it, because even if you pass the course you may not be able to do well in your career if you have no passion for it.

But do not be hasty and make a decision. As you said you have no idea about the career scope after BSc Psychology, I suggest you research more and see if you actually would be interested in doing it and if it would be worth it.

Please refer to following link for more details about Psychology course:

https://www.careers360.com/courses/psychology-course

Good luck

Dear student,

ML ENGINEER:

• The machine learning engineer is that of a computer programmers, but their focus goes beyond specifically programming machines to perform specific tasks. They create programs that will enable machines to take actions without being specifically directed to perform those tasks.
• Translating the work of data scientists from environments such as python/R notebooks analytics applications.
• Creation of web services/APIs for serving ML/AI model results and enabling access to customers or internal teams.
• Automating model training and evaluation processes.
• Automating feature engineering, ensuring data for model training is cleaned and readily available and facilitation of the flow of data between ML/AI models and an organization’s data systems.

ML ARCHITECT:

• Lead the end-to-end architecture and development of machine learning solutions for an enterprise Document Intelligence platform.
• Implement machine learning algorithms into services and pipelines to be consumed at web-scale.
• Engineer large scale development systems using full-stack web-based, distributed shallow and deep-learning technologies and big data technologies.
• Architect and develop a highly scalable, distributed, multi-tenant set of micro-services backend solution.
• Implement test cases to automate testing of frontend and backend code.
• Be a part of a highly productive and creative engineering team, working together to execute on our mission of being the best in the world at Document Intelligence.

I hope this helps.

Hi!

You can do M.Sc. in Artificial Intelligence after your BCA. M.Sc. Artificial Intelligence is a 2 Year PG Course offered in various Colleges across the Nation.

The Eligibility Criteria for pursuing M.Sc. Artificial Intelligence is given below:

• Students nust hold a Bachelor's Degree in Computer Science from a renowned Univeristy.
• You must have a 50% aggregate score in your UG Course.

So, if you satisfy these, then you can go ahead!

Hope this is helpful!

All the best!