Saw a friend update their past role on LinkedIn . From data scientist to AI engineer.  What's the criteria that decides or makes a person an " AI/ML engineer " ?

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Saw a friend update their past role on LinkedIn . From data scientist to AI engineer.

What's the criteria that decides or makes a person an " AI/ML engineer " ?

Can "data scientist" and "AI engineer" be used interchangeably?

Software Developer

Can "data scientist" and "AI engineer" be used interchangeably?- Grapevine

Welcome to Data Scientists's Private Community

I have had a doubt for long time weather data scientist know ai and ml, or is it a completely different role.

Data science, Ai, Ml same?

Is it possible to switch from DBA to DS or ML Engineer ?
How can I start with, and what can be the road map?

Career switch from DBA to Data Scientist or ML Engineer

Database Administrator

Considering the automation threat from AI analytics roles might get fewer and salaries are not that much high in analytics. What are your views on this? Do you think analytics will be the most impacted field because of AI?

If anyone had changed from analytics to de/ds, how difficult to change?

Is it better to switch from analytics to data engineer/data science?

Business Analyst

Got a data science internship in a mid size indian startup and working on some projects from scratch. Currently I know ML, Python, MYSQL, data analytics, django(basic)

What will be the next things I have to learn with internship and how can I see my career progress in data science domain??

What's the next step?

The AI Engineer, is the next new thing according to what I am hearing from top Leaders. One is involved in working with AI APIs and open-source models to productise AI capabilities. 

AI tasks that can now be accomplished with ease, thanks to the availability of foundation models and APIs. It also touches on the challenges in evaluating, applying, and productizing AI.

AI Engineer is the new role to get. The title is on the rise. I have been interviewing and a lot of companies seem to hire AI Engineers compared to ML Engineers now. 

OpenAI has changed the game since models and APIs has significantly reduced the time and resources required to accomplish AI tasks, making it easier for AIx to work with these technologies. This is the greatest thing ever in the history of mankind. 

We had room sized computers in 1960s that could only compute simple calculations. Now you have a more powerful computer in your microwave.

Now imagine, the day you can run GPT4 on your smartphone. The compute will get their with miniaturization of compute or offloading to cloud. We need more AI Engineers, please reach out to me in DMs please. I will get you an interview call if you have worked in DevOps, Infra, ML/AI, LLM finetuning or anything similar using PyTorch, Tensorflow etc.

The No-Nonsense Guide to AI Engineering

Product Manager

I got a offer letter from Accenture

But in the offer letter the job title is wrong. 

I did not accept the offer, today was the last day to accept. I already sent them a mail but no reply yet. 


What will happen now? Can I assume offer letter is expired for me. And start looking for other opportunities

Please suggest Offer letter

I recently got placed in a good product based company and was assigned in Data Engineering team 1-2 weeks ago as an intern.

I always wanted to be a Software Development Engineer and I really like to develop applications, websites etc and I also really enjoy it. I even purchased an expensive system design book to learn and implement how they build scalable apps etc because I find it very interesting.

I never persued the data domain because I don't like stats and all the maths. Avoided AI/ML in college. Sure, I can work and learn about it in my free time, but I don't prefer it as a job right now.

I couldn't develop my interest in data engineering after researching about it online for hours. Yes, the stack is cool and different, they build pipelines and all but it looks boring to me. I also read few comments saying that freshers are rarely hired for this role and one should work as an sde for few years before switching to this domain, and also they are paid ≤ SDEs depending on the company.

What should I do now? Please guide me seniors🙏 Am I stuck in this forever or can I switch to SDE anytime I want? I am open to trying this role but then I am also scared that it'd may be too late or too hard to switch to SDE by then..?

P.s. This is my first job, never worked in a company before so I don't know how things work.

Got assigned in Data Engineering role as a fresher

Welcome to IT Company Discussion's Private Community

What's the scope of Data Engineering? Is this field affected because of AI?

Data engineer

Is it possible to make a career shift from data analyst to data scientist then to AI field ? & What is the effective way to achieve

Which is a better field, data analyst or data engineer in terms of growth and salary.

Data analyst v/s data engineer

Data Analyst

Talking to my nephew nowadays seems like the AI bug has gotten to him. Even going back during the early parts of my own career and even undergrad, ML and stats was still a fledgling field. Most of the smart folks went into SDE roles at top tech.

I still remember that even back then, hiring for roles like these were extremely theoretical. You would test even experienced candidates with undergrad topics which was slightly outdated tbh because most of the functions were abstracted away and it is obvious that you would not remember the matrix approach to finding weights for a simple linear regression model.

Has this changed now? Because I don't think interviews like that actually evaluate the accumulated wisdom that experienced professionals bring to the table.

I mean it is generally a waste of time for anyone to brush up manual derivations or remember SQL niche intricacies. Usually it is better to test for the 80% knowledge that is actually useful on a day to day basis. I mean if the main things that companies test in experienced candidates is something that can be rote-memorized from a book then they are not testing the right things no?

What do you all think? Just wondering about this for some time now especially considering the hype around AI?

Is Data Science a bad bet for your career longevity?

At first when I searched for various fields in IT I liked data analyst but now everyone says that AI is able to do all the core work of their, what's your opinion?

Data Analyst scope

I’m a student of BE from a affiliated college under Mumbai university, I’m from Computer Background but for coding is not easy to understand, frame , but I want to work in tech field I chose these two coz it requires only python as a main language, and what jobs are high in demand in recent markets pls can you help me !?

I’m confused what is the best in recents time AI engineer job or data scientist jobs

India represents an untapped potential for greater Internet penetration+advancements in Speed compared to other advanced economies. 

This should ideally unlock greater data generation per capita. This will ideally allow us to map geo-specific patterns across e-commerce/social-networks/OTT/Finance/Healthcare/EdTech etc. 

Data as a moat may just be real. Think of how you can switch to:
(in this order of preference)

Data Engineering > ML/AI/Data Science > Analytics

Having YOE under your belt when the wave picks up will take you further than anyone else.

Image Source: From r/dataisbeautiful on Reddit.

[Take] If you are in Data, you might make a lot of money in the next 10 years...

I'm currently a Data Analyst with 6 months of experience. I would like to get into AI/ML and Robotics field.

Planning to transition from my current role next year. I'm not sure whether I should become a Software engineer (preferably Backend) or ML Engineer or some Data Science role.

I'm currently in Bangalore. Open to relocating to any state (or even country).

In the longterm, I want to do something that has both software and hardware in it.

Please explain your advice if you can afford some time.

Thanks in advance.

P.S. I accidentally put student in this app.

I'm confused. What next after Data Analyst?

I've been an Oracle Database Administrator handling databases and exadata, data guard, performance tuning (not so great at it), little bit of Oracle Cloud Infrastructure as well and typical DBA tasks including tablespace reorganization, migrations, etc. for the last 3 years. 

Now I'm thinking about transitioning into a Data Engineer/Data Analyst roles as it seems it is having a more lucrative future ahead.

I'm good at doing DBA things but I'm doubtful about this considering the future scope of this as there isn't much a DBA has to do in databases as most of the work is handled by Database itself but I have an interest in it and getting calls from other companies as well for the same role.

Is DBA a really good career option considering the future and the compensation?

Or exploring or gaining skills in data engineering/analyst has more benefit?

Also, what would be the best among Data Engineer/Data Analyst/AI,ML Engineer?

Need advice on Career Transition

Associate Consultant

Welcome to Product Managers's Private Community

Hey everyone, happy to answer any questions around Data Science/ML/AI and making a career within it

A brief about me, I work currently as a Sr. ML Engineer at an Indian unicorn startup 
I graduated 5+ years ago and have since worked as a Data Scientist / ML Engineer at an ecommerce company and social media company. My designations have changed based on the industry requirements and work too changed based on that.

Would love to take questions on what it means to be an ML Engineer, my early learnings from a career in data science, and thoughts on AI.

Look forward to all questions :)

AMA 🎙️: Hi, I am diffusedbandit, Senior ML Engineer at an Indian Unicorn

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