Hebbal Bengaluru Karnataka Computer teacher Jobs – 81 Open Jobs Today

AI Research Engineer (Model Compression & Quantization)
Tether Operations Limited —Bengaluru, Karnataka
- Email
- Remote
- Doctoral degree
- Computer Science
- English
Preschool Teacher
Vidyasagar Preschool —Banashankari, Bengaluru, Karnataka
- ₹25,000 - ₹35,000 a month
- Full-time
- Microsoft Office
- Bachelor's degree
- Computer skills
Quick apply
23h
Preschool Teacher and Nurse -Bengaluru
Little Big World —Whitefield, Bengaluru, Karnataka
- ₹10,000 - ₹25,000 a month
- Full-time
- Childcare
- Nursing
- English
Quick apply
Centre Administrator
Globalart Raysandra —Bengaluru, Karnataka
- ₹12,000 - ₹15,000 a month
- Part-time
- Customer service
- English
- Microsoft Office
- Paid time off
- Flexible schedule
Quick apply
Pre -Primary Teacher (Mid day Batch)
EuroSchool Electronic City —Bengaluru, Karnataka
- Up to ₹22,000 a month
- Full-time
- Bachelor's degree
- Computer skills
- In-person
- Commuter assistance
- Health insurance
Quick apply
8d
Academic Coordinator
Dreammithra Pvt ltd —Bengaluru, Karnataka
- ₹15,000 - ₹18,000 a month
- Full-time
- Team management
- Mentoring
- Recruiting
Quick apply
French Teacher
TOPPER SHIKSHA —Kasturinagar, Bengaluru, Karnataka
- ₹15,000 - ₹35,000 a month
- Full-time
- English
- Bachelor's degree
- Computer skills
Quick apply
German Teacher
TCIS —Bengaluru, Karnataka
- ₹25,000 - ₹50,000 a month
- Full-time
- Master's degree
- Bachelor's degree
- Computer skills
Quick apply
Hindi Teacher
ampus solutions pvt ltd —Bangalore City, Bengaluru, Karnataka
- ₹10,121.13 - ₹39,582.65 a month
- Part-time
- English
- Master's degree
- Education
Quick apply
11d
R&D Architect- CAD Physical Design / Place & Route (PnR).
Synopsys —Bengaluru, Karnataka
- Computer Science
- Master's degree
- Electrical experience
Preparatory Teacher
Brilliant National School —Bengaluru, Karnataka
- Full-time
- Microsoft Word
- Computer Science
- B.Sc
Quick apply
Secondary physics Teacher
Sri Nalanda Global Academy —Bengaluru, Karnataka
- ₹15,000 - ₹20,000 a month
- Full-time
- Computer science
- Computer Science
- Microsoft Office
Quick apply
Admission Counselor
Makoons —Bengaluru, Karnataka
- ₹13,000.00 - ₹43,836.75 a month
- Full-time
- Customer service
- Master's degree
- Presentation skills
Quick apply
Teaching Assistant/Teacher
Ankita School —Bengaluru, Karnataka
- ₹12,000 - ₹15,000 a month
- Full-time
- Math
- Bachelor's degree
- In-person
Quick apply
12d
Pre Primary Teachers
Educollab —Koramangala, Bengaluru, Karnataka
- ₹12,000 - ₹18,000 a month
- Full-time
- ERP systems
- Microsoft Office
- Bachelor's degree
Quick apply
French Teacher
Forefront Academy —Whitefield, Bengaluru, Karnataka
- ₹10,000 - ₹15,000 a month
- Part-time
- Bachelor's degree
- Computer skills
- In-person
- Food provided
Quick apply
1d
Centre Head -Vidyaranyapura
Footprints Childcare Pvt Ltd —Vidyaranyapura, Bengaluru, Karnataka
- ₹40,000 - ₹44,000 a month
- Full-time
- Microsoft Powerpoint
- Microsoft Word
- Microsoft Excel
Quick apply
7h
Faculty Position
JAIN UNIVERSITY —Bangalore City, Bengaluru, Karnataka
- ₹9,815.24 - ₹73,819.38 a month
- Full-time
- Doctoral degree
- In-person
- Teaching experience
Quick apply
6h
PRESCHOOL TEACHER @ HSR LAYOUT
i wonder y preschool —Bengaluru, Karnataka
- From ₹20,000 a month
- Part-time
- Computer literacy
- Bachelor's degree
- In-person
- Paid sick time
Quick apply
5h

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AI Research Engineer (Model Compression & Quantization)

Tether Operations Limited
Bengaluru, Karnataka

Apply Now

Job details

Full-time

Qualifications

Doctoral degree
Computer Science
PyTorch
English
Research
OS Kernels
C++
C
Bachelor's degree
Machine learning
Deep learning
Natural language processing
AI
Communication skills

Full job description

Join Tether and Shape the Future of Digital Finance

At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.

Innovate with Tether

Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.

But that’s just the beginning:

Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.

Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET, our flagship app that redefines secure and private data sharing.

Tether Education: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.

Tether Evolution: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.

Why Join Us?

Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.

If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.

Are you ready to be part of the future?

About the job

As a member of our AI research team, you will drive innovation in model compression and efficient deployment for advanced multimodal AI systems, including large language models (LLMs) and vision-language models (VLMs). Your work will focus on reducing model footprint and computational cost while preserving accuracy, enabling high-performance AI to run efficiently across resource-constrained edge devices. You will apply and advance compression techniques such as quantization, knowledge distillation, and pruning to streamline complex multimodal architectures that integrate text, images, and audio.

We expect you to have deep expertise in model compression methods and a strong background in multimodal model architectures. You will adopt a hands-on, research-driven approach to develop, test, and implement novel compression strategies that balance model size, latency, throughput, and accuracy. Your responsibilities include building robust compression pipelines, establishing performance and fidelity metrics, and addressing bottlenecks in production inference. The ultimate goal is to deliver scalable, low-memory, low-latency AI systems on edge devices (i.e., smartphones) that maintain high fidelity and tangible real-world value.

Responsibilities

Break down the key responsibilities in bullet points. It’s helpful to make them actionable and measurable. This could also be grouped into categories for more complex roles.

Apply low-bit quantization to reduce model size and inference latency for generative AI models (LLMs, VLMs, multimodal) while maintaining accuracy and output quality.
Leverage knowledge distillation to transfer capabilities from larger teacher models to smaller student models, enabling efficient multimodal reasoning across text, image, and audio inputs.
Implement pruning techniques to remove redundant parameters and attention heads, reducing computational overhead without sacrificing task performance.
Analyze trade-offs between model efficiency (size, latency, memory) and accuracy across quantization, distillation, and pruning methods; propose improvements based on empirical findings.
Research and apply mixed-precision quantization and other advanced compression strategies (e.g., adaptive pruning schedules, distillation with intermediate feature matching) to optimize the accuracy–performance balance.
Stay current with the latest research in model compression, including emerging techniques for multimodal and generative architectures.
Document methodologies, experiments, and results clearly to support reproducibility, internal collaboration, and stakeholder communication.
Author technical papers and publish findings in top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL, AAAI) to advance the field of model compression for multimodal AI.

List the qualifications, certifications, and experience needed for the role. You can split this into mandatory and preferred sections if needed.

A degree in Computer Science or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A* conferences).
Experience with PyTorch deep learning frameworks or equivalent frameworks
Hands-on experience with model quantization including both Quantization-Aware Training (QAT) and Post-Training Quantization (PTQ).
Research and hands-on experience with knowledge distillation for compressing large models into smaller, efficient ones.
Research and hands-on experience with model pruning for compressing large models into smaller, efficient ones.
Solid understanding of neural network architectures and training processes – Including transformers (e.g., LLMs, VLMs), backpropagation, optimization, and fine-tuning techniques.
Familiarity with C++ is a plus (especially for implementing low-level quantization kernels or inference optimizations).

Important information for candidates
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:

Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/
Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website.
Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.
Double-check email addresses. All communication from us will come from emails ending in @tether.to or @tether.io
We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.

When in doubt, feel free to reach out through our official website.

Apply Now

Refine Your Search

computer teacher jobs in hebbal bengaluru karnataka

AI Research Engineer (Model Compression & Quantization)

Preschool Teacher

Preschool Teacher and Nurse -Bengaluru

Centre Administrator

Pre -Primary Teacher (Mid day Batch)

Academic Coordinator

French Teacher

German Teacher

Hindi Teacher

R&D Architect- CAD Physical Design / Place & Route (PnR).

Preparatory Teacher

Secondary physics Teacher

Admission Counselor

Teaching Assistant/Teacher

Pre Primary Teachers

French Teacher

Centre Head -Vidyaranyapura

Faculty Position

PRESCHOOL TEACHER @ HSR LAYOUT

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