AI Jobs

We are hiring an AI/ML Engineer at KnowDis AI with hands-on experience building electronic circuits.

For this role in our data science and engineering team, we are looking for:
A B.Tech in Electrical Engineering, with strong academic fundamentals.

Strong Python programming and practical experience building AI/ML models.

A personal interest in electronics, demonstrated through projects built during school, college or independent experimentation.
You should be comfortable with a breadboard, soldering iron and multimeter, and have worked with components such as op-amps, 555 timers, transistors and photoresistors/LDRs. We would like to hear about circuits you've assembled, problems you've encountered, and how you fixed them.

Experience building projects with Arduino, Raspberry Pi, or similar platforms, including connecting sensors and controlling hardware, is a plus. Experience deploying ML models on embedded or edge devices is also welcome.

Please send your CV to hr@knowdis.ai, along with a short description of one electronics project you personally built and one AI/ML project you worked on at email.
https://whatsapp.com/channel/0029VaE0DrvDZ4LgCbLKkW43

Hiring: LLM Research Intern | Freshers & Research Candidates Welcome
Interested in Large Language Models, multilingual AI, and cutting-edge research?
Here's an opportunity to work closely with research scientists on advanced LLM research, experimentation, and rapid prototyping.
Role: LLM Research Intern
Work Mode: Remote – India
Duration: 6 Months (Paid Internship)
Working Days: Monday–Friday
Working Hours: 9:00 AM – 6:00 PM
Expected Start: First Week of November 2026
What You'll Work On:
Research multilingual language understanding and generation using LLMs.
Explore cross-lingual transfer, multilingual reasoning, and language interference.
Work on LLM adaptation for entertainment content, including subtitles, scripts, and dialogues.
Experiment with translation, reasoning, and adaptive computation.
Explore reinforcement learning, preference optimization, and related approaches.
Prototype research ideas and evaluate models using research benchmarks and real-world datasets.
Work on LLM fine-tuning techniques, including LoRA, QLoRA, and Instruction Tuning.
Collaborate with research scientists on experiments, research papers, patents, and AI prototypes.
Eligibility & Education:
PhD or Master's degree in Computer Science or a related field.
Bachelor's graduates with hands-on Python experience and practical LLM fine-tuning experience are also encouraged to apply.
Experience with NLP, multilingual AI, LLMs, or language processing applications is highly desirable.
Strong interest in research, experimentation, and developing new AI methods.
Who Should Apply?
Fresh graduates, postgraduate students, research scholars, and aspiring AI researchers with hands-on LLM experience.
This is a research-intensive opportunity for candidates who want to go beyond integrating existing AI models and contribute to developing new approaches.
Apply Now:
https://quickhyre.ai/jobs
Visit QuickHyre, complete your registration, and search for the LLM Research Intern opportunity.

https://whatsapp.com/channel/0029VaE0DrvDZ4LgCbLKkW43

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