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๐Œ๐ข๐œ๐ซ๐จ๐ฌ๐จ๐Ÿ๐ญ ๐ƒ๐š๐ญ๐š ๐’๐œ๐ข๐ž๐ง๐œ๐ž ๐ˆ๐ง๐ญ๐ž๐ซ๐ง๐ฌ๐ก๐ข๐ฉ!
Qualifications: Currently pursuing a Bachelor's Degree in Data Science, Mathematics, Statistics, Computer Science, or related field.
Salary: โ‚น 1,07,698 Per Month (Expected)
Batch: 2024/ 2025/ 2026/ 2027
Experience: Freshers
Location: Multiple Locations, India

๐Ÿ“ŒApply Now: https://jobs.careers.microsoft.com/global/en/share/1808941/?utm_source=Job%20Share&utm_campaign=Copy-job-share

๐Ÿ‘‰WhatsApp Channel: https://whatsapp.com/channel/0029VaI5CV93AzNUiZ5Tt226

๐Ÿ‘‰Telegram Link: https://t.me/addlist/4q2PYC0pH_VjZDk5

Like for more โค๏ธ
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10 Things you need to become an AI/ML engineer:

1. Framing machine learning problems
2. Weak supervision and active learning
3. Processing, training, deploying, inference pipelines
4. Offline evaluation and testing in production
5. Performing error analysis. Where to work next
6. Distributed training. Data and model parallelism
7. Pruning, quantization, and knowledge distillation
8. Serving predictions. Online and batch inference
9. Monitoring models and data distribution shifts
10. Automatic retraining and evaluation of models
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Dreame Technology is hiring Data Scientist ๐Ÿš€

Qualification : Bachelor's degree
Experience : 0-5 Years
Location : Remote ( USA )

Apply link : https://app.dover.com/apply/dreametechnology/7b83aad6-235c-4582-98d4-589e65835452?rs=42706078
Unsiloed AI is hiring for 10x ML Engineers to join our team full-time. Apply below and be part of a fast-moving team solving hard AI problems in document intelligence.

Experience: 1-3 years
CTC: 25-30 lpa (base)
https://app.dover.com/apply/Unsiloed-Ai/368c656d-764b-4eaf-87a7-ea22f665dc1a
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YouTube channels to learn Data Analysis
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๐Ÿ”ฐ How to become a data scientist in 2025?

๐Ÿ‘จ๐Ÿปโ€๐Ÿ’ป If you want to become a data science professional, follow this path! I've prepared a complete roadmap with the best free resources where you can learn the essential skills in this field.


๐Ÿ”ข Step 1: Strengthen your math and statistics!

โœ๏ธ The foundation of learning data science is mathematics, linear algebra, statistics, and probability. Topics you should master:

โœ… Linear algebra: matrices, vectors, eigenvalues.

๐Ÿ”— Course: MIT 18.06 Linear Algebra


โœ… Calculus: derivative, integral, optimization.

๐Ÿ”— Course: MIT Single Variable Calculus


โœ… Statistics and probability: Bayes' theorem, hypothesis testing.

๐Ÿ”— Course: Statistics 110

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๐Ÿ”ข Step 2: Learn to code.

โœ๏ธ Learn Python and become proficient in coding. The most important topics you need to master are:

โœ… Python: Pandas, NumPy, Matplotlib libraries

๐Ÿ”— Course: FreeCodeCamp Python Course

โœ… SQL language: Join commands, Window functions, query optimization.

๐Ÿ”— Course: Stanford SQL Course

โœ… Data structures and algorithms: arrays, linked lists, trees.

๐Ÿ”— Course: MIT Introduction to Algorithms

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๐Ÿ”ข Step 3: Clean and visualize data

โœ๏ธ Learn how to process and clean data and then create an engaging story from it!

โœ… Data cleaning: Working with missing values โ€‹โ€‹and detecting outliers.

๐Ÿ”— Course: Data Cleaning

โœ… Data visualization: Matplotlib, Seaborn, Tableau

๐Ÿ”— Course: Data Visualization Tutorial

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๐Ÿ”ข Step 4: Learn Machine Learning

โœ๏ธ It's time to enter the exciting world of machine learning! You should know these topics:

โœ… Supervised learning: regression, classification.

โœ… Unsupervised learning: clustering, PCA, anomaly detection.

โœ… Deep learning: neural networks, CNN, RNN


๐Ÿ”— Course: CS229: Machine Learning

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Step 5: Working with Big Data and Cloud Technologies

โœ๏ธ If you're going to work in the real world, you need to know how to work with Big Data and cloud computing.

โœ… Big Data Tools: Hadoop, Spark, Dask

โœ… Cloud platforms: AWS, GCP, Azure

๐Ÿ”— Course: Data Engineering

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๐Ÿ”ข Step 6: Do real projects!

โœ๏ธ Enough theory, it's time to get coding! Do real projects and build a strong portfolio.

โœ… Kaggle competitions: solving real-world challenges.

โœ… End-to-End projects: data collection, modeling, implementation.

โœ… GitHub: Publish your projects on GitHub.

๐Ÿ”— Platform: Kaggle๐Ÿ”— Platform: ods.ai

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๐Ÿ”ข Step 7: Learn MLOps and deploy models

โœ๏ธ Machine learning is not just about building a model! You need to learn how to deploy and monitor a model.

โœ… MLOps training: model versioning, monitoring, model retraining.

โœ… Deployment models: Flask, FastAPI, Docker

๐Ÿ”— Course: Stanford MLOps Course

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๐Ÿ”ข Step 8: Stay up to date and network

โœ๏ธ Data science is changing every day, so it is necessary to update yourself every day and stay in regular contact with experienced people and experts in this field.

โœ… Read scientific articles: arXiv, Google Scholar

โœ… Connect with the data community:

๐Ÿ”— Site: Papers with code
๐Ÿ”— Site: AI Research at Google


#ArtificialIntelligence #AI #MachineLearning #LargeLanguageModels #LLMs #DeepLearning #NLP #NaturalLanguageProcessing #AIResearch #TechBooks #AIApplications #DataScience #FutureOfAI #AIEducation #LearnAI #TechInnovation #AIethics #GPT #BERT #T5 #AIBook #data
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Python for Data Science
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Hi All, ๐—•๐—ผ๐˜€๐˜๐—ผ๐—ป ๐—–๐—ผ๐—ป๐˜€๐˜‚๐—น๐˜๐—ถ๐—ป๐—ด ๐—š๐—ฟ๐—ผ๐˜‚๐—ฝ (๐—•๐—–๐—š) is hiring Data Scientists and Senior Data Scientists for its tech build and design unit ๐—•๐—–๐—š ๐—ซ. Weโ€™re looking for great talent to grow the team in India!

๐˜—๐˜ญ๐˜ฆ๐˜ข๐˜ด๐˜ฆ ๐˜ฏ๐˜ฐ๐˜ต๐˜ฆ ๐˜ต๐˜ฉ๐˜ข๐˜ต ๐˜ต๐˜ฉ๐˜ฆ๐˜ด๐˜ฆ ๐˜ณ๐˜ฐ๐˜ญ๐˜ฆ๐˜ด ๐˜ณ๐˜ฆ๐˜ฒ๐˜ถ๐˜ช๐˜ณ๐˜ฆ ๐˜ต๐˜ณ๐˜ข๐˜ท๐˜ฆ๐˜ญ ๐˜ต๐˜ฐ ๐˜ค๐˜ญ๐˜ช๐˜ฆ๐˜ฏ๐˜ต ๐˜ญ๐˜ฐ๐˜ค๐˜ข๐˜ต๐˜ช๐˜ฐ๐˜ฏ๐˜ด, ๐˜ฎ๐˜ข๐˜ฏ๐˜ข๐˜จ๐˜ช๐˜ฏ๐˜จ ๐˜ฆ๐˜ฏ๐˜จ๐˜ข๐˜จ๐˜ฆ๐˜ฎ๐˜ฆ๐˜ฏ๐˜ต๐˜ด ๐˜ข๐˜ฏ๐˜ฅ ๐˜ค๐˜ญ๐˜ช๐˜ฆ๐˜ฏ๐˜ต ๐˜ณ๐˜ฆ๐˜ญ๐˜ข๐˜ต๐˜ช๐˜ฐ๐˜ฏ๐˜ด๐˜ฉ๐˜ช๐˜ฑ๐˜ด ๐˜ข๐˜ด ๐˜ธ๐˜ฆ๐˜ญ๐˜ญ.

More details can be found on this link: https://careers.bcg.com/global/en/job/52492

In case you are interested, feel free to send your resume directly to Singh.Kanishka@bcg.com with subject "Resume for DS/SDS role: <Name>".
Complete Roadmap to Become a Data Scientist

#python #datascientist
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Company Name : Spyne
Role : SDE 1 - Backend and Computer Vision Researcher
Batch : 2024/23/22

Link :
https://spyneai.keka.com/careers/jobdetails/45911
https://spyneai.keka.com/careers/jobdetails/53195

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๐Ÿ“ŒGigaML is hiring for Founding Full Stack Engineer
Salary: 60-100 LPA
Apply here: https://app.flexiple.com/job-description/10633

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Hiring a highly skilled Data Scientist with strong expertise in Develops predictive models using Machine Learning algorithms, Random Forest, Decision Tree, Logistic Regression, K-mean Clustering, linear regression, good knowledge in Python for a prestigious client based in Bangalore. The ideal candidates should possess strong academic backgrounds from Tier 1 and Tier 2 colleges.

Experience: 3.5 to 6 Years
Location: Bangalore
Notice Period: Immediate to 30 Days

If youโ€™re interested or you have a strong network of professionals who fits this profile, please share their resumes to shruthik@novotreeminds.com