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Data Science Jobs
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Company – BharatPe
Role – Data Scientist - GenAI
Exp. – 1-2 yrs
Apply Here – https://www.linkedin.com/jobs/view/3999657393
OnDirect is hiring for below positions

1. Demand Generation Executives
2. Research Analyst
3. Market Research Executive

Fresher Graduate and Undergraduates are welcome.

Job Location: Pune

Submit your CVs to hiring@ondirect.in
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We are looking to hire for below positions at Ai India Innovations Centre, Pune.

- *AI Architect* ( 12 + years deep exp in AI and real use on GEn AI architecture/development/delivery experience)

- *AI Lead* : ( 8+ years experience in AI, with GEN AI development and delivery experience).

We are seeking a highly skilled AI Engineer to join our dynamic team. The ideal candidate will have a strong background in Machine Learning, Deep Learning, Natural Language Processing, and experience with various AI frameworks and tools. This role requires hands-on experience in developing and deploying AI models, along with proficiency in programming and cloud technologies.

*Key Responsibilities:*

* Design, develop, and implement AI and machine learning models using supervised and unsupervised algorithms, including regression, classification, ensemble models, RNN, LSTM, and GRU.

* Utilize deep learning algorithms and artificial neural networks to develop predictive and prenoscriptive analytics solutions.

* Apply natural language processing (NLP) techniques for text analytics, document AI, OCR, sentiment analysis, entity recognition, and topic modeling.

* Leverage LangChain and Open LLM frameworks for tasks such as summarization, classification, named entity recognition, and question answering.

* Develop generative AI techniques, including prompt engineering and working with Vector DB, and various large language models (LLMs) like OpenAI, LlamaIndex, Azure OpenAI, and other open-source LLMs.

* Gain hands-on experience with Generative AI technologies, including Retrieval-Augmented Generation (RAG) architecture, fine-tuning techniques, and inferencing frameworks.

* Work with big data technologies and frameworks to manage and analyze large datasets.

* Utilize Microsoft Azure for building and monitoring CI/CD pipelines, ensuring efficient and reliable deployment of AI models and applications.

* Collaborate with cross-functional teams to understand business requirements and deliver AI solutions that meet organizational needs.

* Stay updated with the latest advancements in AI and machine learning technologies, and implement best practices.

*Qualifications:*

* Strong proficiency in programming languages Python and SQL.
* Minimum of +3 years of experience in predictive and prenoscriptive analytics, including machine learning and deep learning algorithms.

* At least 2 years of experience in NLP, text analytics, document AI, OCR, sentiment analysis, entity recognition, and topic modeling.

* 1+ years of experience in using LangChain and Open LLM frameworks for various NLP tasks.

* Proficiency in generative AI techniques and tools, including prompt engineering, Vector DB, and large language models.

* Hands-on experience with generative AI technologies such as RAG architecture, fine-tuning, and inferencing frameworks.

* Familiarity with big data technologies and frameworks.

* Sound knowledge of Microsoft Azure, particularly in building and monitoring CI/CD pipelines.

* Excellent problem-solving skills and the ability to work independently and as part of a team.


Interested candidates should submit their resume hr@aiindia.ai
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SEI-Atlanta is hiring for the Data and Analytics Consultant role

https://boards.greenhouse.io/seisandbox/jobs/4087465005
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Caterpillar is hiring!
Position: Data Engineer
Experience: Freshers/ Experienced

https://careers.caterpillar.com/en/jobs/job/r0000269558-data-engineer/
𝐇𝐢𝐫𝐢𝐧𝐠 𝐀𝐈 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 at NeuzenAI! 🧠💻
Are you ready to shape the future of AI?
We're looking for a talented 𝐀𝐈 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 to join our innovative team!

🔍 𝐖𝐡𝐚𝐭 𝐰𝐞'𝐫𝐞 𝐥𝐨𝐨𝐤𝐢𝐧𝐠 𝐟𝐨𝐫:

1-2 years of hands-on AI/ML experience
Proficiency in Python, NumPy, Pandas, Scikit-learn, TensorFlow/PyTorch
SQL expertise for data manipulation
Cloud platform knowledge (AWS, GCP, Azure)
Strong problem-solving skills

💼 𝐊𝐞𝐲 𝐑𝐞𝐬𝐩𝐨𝐧𝐬𝐢𝐛𝐢𝐥𝐢𝐭𝐢𝐞𝐬:

Develop and optimize ML models
Deploy AI solutions in production environments
Collaborate with cross-functional teams
Stay updated on AI trends and innovations

🌟 𝐖𝐡𝐲 𝐣𝐨𝐢𝐧 𝐮𝐬?

Competitive salary and benefits
Career growth opportunities
Cutting-edge AI tools and technologies
Collaborative work environment

Ready to take your AI career to the next level?
Send your resume to contact@neuzenai.com
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Company – IndusInd Bank
Role – Data Scientist / Business Analyst
Exp. – 2-4 yrs
Apply Here – https://jigya.co.in/jobs-apprenticeships/indusind-bank/data-scientist-business-analyst-2
*Business Analysts & Senior Business Analysts in Bengaluru – Join a Leading Listed Company.*
🔹 Role: Business Analyst & Senior Business Analyst
🔹 Experience: 3-9 years
🔹 Skills: Strong expertise in SQL and Python
🔹 Location: Bengaluru
Interested candidates can connect with Ankur Paudel or share your resumes at ankur@buzzhire.in.
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Data Science Platform Market Size
Splunk is hiring for Machine Learning Engineer
Experience: 2 year's
Expected Salary: 24-33 LPA

Apply here: https://jobs.jobvite.com/careers/splunk-careers/job/omPFsfw2?__jvst=Career%20Site
Hiring ML/Python intern at smallest.ai to start immediately.

Great at - threads, processes, basic prompt engineering.

Should be quick to pick things up.

Need any one strong proof of work/excellence.

Location Indiranagar

Mail sudarshan@smallest.ai
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Data Science Jobs & internships
👇👇
https://whatsapp.com/channel/0029VaI5CV93AzNUiZ5Tt226
Netflix Hiring Data Science Freshers!

Expected Salary: 19 LPA - 35 LPA
Job Location: Mumbai

Apply Link:
https://cuvette.tech/app/other-jobs/66d546a2aa47f0ee16a402b1?referralCode=8T994D
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You're an upcoming data scientist?
This is for you.

The key to success isn't hoarding every tutorial and course.
It's about taking that first, decisive step.
Start small. Start now.

I remember feeling paralyzed by options:
Coursera, Udacity, bootcamps, blogs...
Where to begin?

Then my mentor gave me one piece of advice:

"Stop planning. Start doing.
Pick the shortest video you can find.
Watch it. Now."

It was tough love, but it worked.

I chose a 3-minute intro to pandas.
Then a quick matplotlib demo.
Suddenly, I was building momentum.

Each bite-sized lesson built my confidence.
Every "I did it!" moment sparked joy.
I was no longer overwhelmed—I was excited.

So here's my advice for you:

1. Find a 5-minute data science video. Any topic.
2. Watch it before you finish your coffee.
3. Do one thing you learned. Anything.

Remember:
A messy start beats a perfect plan
Every. Single. Time.
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