Don’t waste time collecting resources. 
  
 Follow this: https://applied-llms.org  
  
 I’m an ML Scientist and I have been your role too.

Data Scientist

Hello @Kargat , I went through the whole book, it was really good read, they have shared lot of very insightful and concise information that too with examples, thanks again for the suggestion. Now in general, other than Gen AI, any other suggestions for ML Engineer position and MLOps, any pitfalls I have to avoid, good to know things, etc

Machine Learning Engineer

Hello Everyone, I’m starting new position as ML Engineer, mostly I’ll be working on GenAi integrated solutions and have to work on complete end to end architecture. is there any suggestions for me,...

Welcome to Indian Startups's Private Community

Hello Everyone, I’m starting new position as ML Engineer, mostly I’ll be working on GenAi integrated solutions and have to work on complete end to end architecture.
is there any suggestions for me, 
is there something you wished someone would’ve told you/ guided you when you were starting, and mistakes to avoid, approaches or paths that worked for you, and resources (books, blogs, videos) which helped you a lot.

Suggestions you wished someone gave you when you’re starting as ML Engineer

Suggestions you wished someone gave you when you’re starting as ML Engineer- Grapevine

Welcome to Data Scientists's Private Community

Suggestions/Guidance for new ML Engineer, starting new position.!

YOE - 5 Profile - business Analyst, good with SQL, average with python and ML concept, but worked on python and ML in my previous company. 
Requesting advice to get into machine learning or gen ai profile. Courses or anything else that would help. I understand it's a 6 months to one year journey.... Anyone who has transitioned recently kindly help.
Reason to move - better opportunities and jobs moving towards Gen Ai.

Suggestion to get into ML and Gen Ai

Founder

Welcome to Software Engineers's Private Community

I am an ML enthusiast and have been learning Reinforcement Learning and other Algorithms to shift my profile to ML engineer. But as soon as I started applying for jobs, every job is looking for people who have experience in GENAI, LLMs, etc. So I want to know, how can I become one?

How to become a GenAI Developer?

Software Engineer

Welcome to IT Company Discussion's Private Community

Can anyone help me how should i prepare for data Engineering and AI/ML roles

Need guidance to prepare for interview

Data engineer

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

Hello, im a  first year PG student studying AI& ML. I want to up skill myself and be industry ready in the next 4-5 months and how do i do it? I feel very overwhelmed and lost at this point. Can someone guide me through things?
Thank you

How to get better in ML Domain

I have an interview in a week and wanted to know if there any tips you would like to give. I have asked the recruiter what kid of question will be asked and the response was: the questions will be around building, deploying and scaling efficient ml models into production.

ML Engg interview tips

I am to move into an ML platform engineering team a few months down the line.  Most job opportunities for an ML platform engineer mentions strong knowledge of kubernetes, Kubeflow/ML flow, API design and deployment along with coding language(usually Java, python or Go). 
Are there any must read resources which could help me while upskilling for this role? I already have access to O'Reilly and have read and practiced most of the exercises on Kubernetes.

Resources to upskill and move into ML platform teams

What would you suggest a person with no tech background should start learning given the current AI scenario and what to learn? For context I’ll be working mostly as a manager, I’m a marketing graduate with MBA from tier 1 college, but i want to know what things you need to learn to work in roles like PM or things you might need to know to build a tech company?

Tech people i need advice …

Hi guys, I am a Backend Engineer, with the evolving trends in AI and ML , I want to make myself familiar with things like Machine Learning, Deep Learning and LLM stuff. would appreciate free resources or a path.

Thanks

🙏 

Also do share your experience moving into these domains.

Free Resources to learn and break into AI/ML domain

Hi all!

I'm a pm with marketing background, what should i do to become technically literate?

I'm getting hang of backend and frontend, but need help in understanding complex design choices/frameworks that engineers have made in the past.

Suggest some books/blogs that I can read

Need to become more techinally literate

Product Owner

I am a software engineer with 11 months of experience. I have no interest in testing field and wanted to work in development roles from the start but my org forced me to work as an integration tester. Now I am planning to upskill and jump.
I have great interest in cloud field and believe that it is an emerging field, but I am told that AI/Gen AI is also very good field to go in.
Although l don't have any particular interest in AI and always thought that it is not easy to get good paying AI related jobs for beginners like me, I am ready to pursue, if told otherwise.
Please give me some advice/guidance as to which field I should choose as a fresher that has good learning and future scope and pays good.
Any advice/guidance is appreciated 🙂.

Need your advice folks

I recently started working as a Data Analyst after my undergraduate in Engineering. My work concerns mostly building, testing and tracking ML models for Finance Industry (usually classic ML and not Deep Learning). 

I wanted to hear from people who have been in this field for some time. How does one grow themselves in this field of work. Had a few specific questions but would love to hear if you have anything more to tell.

1. Where are the high paying and interesting jobs? Big Banks, Software MNCs, or Startups? Which of these should I target to reach to get interesting (preferably advanced ML) work and pay?
2. Is learning new concepts and building personal projects a good way to learn and demonstrate my abilities or is there a better way to develop and present my skills?
3. Is an MS from foreign universities extremely important for good growth in career?
4. Should I try switching to SDE role? (I don't have big preference for either SDE or ML, I just happened to land a ML job)

Growing in Data Science and ML field

Hi,
I am a software engineer with 12 years of experience. 
I need some suggestions.
1: Is it too late now to learn Data Science and pursue a career in it?
2: If I want to learn the necessary concepts of ML what path I should follow?
3: I find the maths behind the ML models a bit confusing can anyone please suggest any good resource for that?

Need help to Data Science path

Software Developer

Hey guys, so I have been interning at a company for the past 9 months. They have offered me a ppo and I will most likely accept it. But my interest lies in the ML field or some data fields such as data engineering. 
Can anyone advice me how do I go about it?
Like should go for masters(my undergrad degree is not CS or some pheonix branch). Should I learn on my own and keep giving interview. Or should I take some experience in sde and then switch?
Thanks in advanced

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