11+ RAN Jobs in Bangalore (Bengaluru) | RAN Job openings in Bangalore (Bengaluru)

Mandatory Skills

• Proficient in automating Test cases using Python / C++
• Should have work on RAN or Core Network on LTE / 4G, 5G , 3G
• Should have done Protocol Conformance Testing / RF Conformance Testing / Carrier Acceptance Testing
• Should be able design test cases.
• Should have worked on protocols / network element like NAS/SIAP / RRC / PHY MAC / GCF / MME / SGW / PGW / PCRG / eNodeB / UTRAN / RACH 

Good to Have

• Test automation framework & test suite development using  Python or platform specific development expertise
• Experience in 5G will be an added advantage
• Interop testing and validation with chipset vendors / OEMs / Service Providers

What kind of profile will not be suitable

-       Only RF Optimization

-       Only Field Testing

-       Only Log Analysis

-       Network Monitoring & configuration  

Byteridge is seeking a Rapid Prototyping Engineer specializing in AI Infrastructure & Optimization to work with our most strategic customers on deploying, fine-tuning, and optimizing large language models at scale. You will be at the forefront of Byteridge's AI infrastructure capabilities, helping customers unlock the full potential of foundation models through expert-level deployment on GPU infrastructure.

This highly technical role requires deep expertise in machine learning infrastructure, GPU optimization, and production ML systems, combined with the ability to translate complex technical concepts into customer success.

What You'll Do

Model Deployment & Optimization

• Lead end-to-end deployments of large language models on AWS infrastructure for strategic

customers

• Design and implement training, fine-tuning, and inference pipelines using Amazon SageMaker AI

• Optimize model performance through GPU-level tuning, kernel optimization, and infrastructure

configuration

• Deploy models on diverse GPU architectures including NVIDIA and AWS custom silicon (Trainium,

Inferentia)

Infrastructure Architecture & Performance

• Architect scalable ML infrastructure using SageMaker AI Inference, HyperPod, and distributed

training frameworks

• Implement CUDA-level optimizations and custom kernels for improved model performance

• Design storage and networking architectures optimized for high-throughput ML workloads

• Troubleshoot and resolve complex performance bottlenecks at the GPU driver and kernel level

Customer Engagement & Technical Leadership

• Partner with AWS AI Specialist Solution Architects and customer ML teams to understand model

requirements and deployment constraints

• Provide technical guidance on model selection, fine-tuning strategies, and production best practices

• Conduct performance benchmarking and cost optimization analysis for ML workloads

• Share field insights with AWS product teams to influence infrastructure and service roadmaps

What We're Looking For

Core Qualifications

• Bachelor's degree in computer science, Engineering, or equivalent practical experience (Master's or

PhD preferred)

• 5+ years of experience in machine learning infrastructure, model deployment, or GPU computing

• Strong programming skills in Python and experience with ML frameworks (PyTorch, TensorFlow, JAX)

• Deep understanding of LLM architectures, training methodologies, and inference optimization

Technical Expertise (High-Level Alignment)

• Hands-on experience training, fine-tuning, or deploying large language models in production

• Proficiency with GPU programming, CUDA, and kernel-level optimization techniques

• Experience with distributed training frameworks and multi-GPU/multi-node orchestration

• Strong knowledge of AWS core services: EC2 (GPU instances), S3, EFS, VPC, and networking

Preferred Experience

• Direct experience with Amazon SageMaker AI (Training, Inference, HyperPod) or equivalent ML

platforms

• Understanding of GPU architectures (NVIDIA A100, H100) and AWS custom silicon (Trainium,

Inferentia)

• Experience with model compression techniques (quantization, pruning, distillation)

• Knowledge of MLOps practices, model monitoring, and production ML system design

• Background in high-performance computing, distributed systems, or systems programming

Essential Attributes

• Ability to dive deep into technical problems and debug complex infrastructure issues

• Strong analytical skills with data-driven approach to optimization

• Excellent communication skills to explain complex technical concepts to diverse audiences

• Comfortable working in ambiguous, fast-paced environments with evolving requirements

• Ownership mindset with ability to drive projects from architecture to production

We are looking for an experienced Technical Lead (MEAN Stack) to lead the design, development, and delivery of scalable web applications. The ideal candidate will have strong expertise in the MEAN stack, experience leading development teams, and the ability to drive technical decisions while ensuring high-quality software delivery.

Key Responsibilities

• Lead the design, development, and deployment of web applications using MongoDB, Express.js, Angular, Node.js, NestJS, and TypeScript.
• Guide and mentor developers through code reviews, technical discussions, and best practices.
• Design scalable RESTful APIs and integrate third-party services.
• Ensure code quality through testing, debugging, and performance optimization.
• Collaborate with product managers, architects, and stakeholders to deliver business requirements.
• Oversee application deployment using Docker, Kubernetes, and microservices architecture.
• Manage production support, troubleshoot critical issues, and ensure system reliability.
• Drive Agile development practices and continuous improvement initiatives.

Required Skills

• Strong expertise in MongoDB, Express.js, Node.js, NestJS, TypeScript, and Angular.
• Experience in REST API development and third-party API integration.
• Proficiency in Git, unit testing (Jest/Jasmine), Docker, Kubernetes, and microservices.

Role: SDET

Core Testing Competencies

• Strong understanding of STLC and Agile methodologies
• Experience in Integration, System, UAT, Regression, and Sanity testing
• Hands-on experience in E-commerce application testing
• API testing using tools like Postman / SoapUI
• Mobile testing on iOS and Android (real devices/emulators)
• Cross-browser web testing

Automation Skills

• Designing and maintaining automation frameworks:
• Page Object Model (POM)
• Data-Driven and Keyword-Driven frameworks
• Programming languages: Java, JavaScript
• Web automation: Puppeteer
• Mobile automation: Appium, WebdriverIO
• CI/CD integration using Jenkins
• Backend automation using JUnit (good to have)

Tools & Technologies

• Test management & documentation: Jira, Confluence
• Defect tracking: Jira, Excel
• Proxy tools: Charles
• Databases: SQL (MySQL, PostgreSQL, Oracle) for backend validation
• Browser debugging & network inspection: Chrome DevTools

Other Key Skills

• Test documentation and bug reporting
• RTM (Requirement Traceability Matrix)
• Strong analytical and problem-solving skills

Role: Sr. Data Scientist

Exp: 4-8 Years

CTC: up to 25 LPA

Technical Skills:

● Strong programming skills in Python, with hands-on experience in deep learning frameworks like TensorFlow, PyTorch, or Keras.

● Familiarity with Databricks notebooks, MLflow, and Delta Lake for scalable machine learning workflows.

● Experience with MLOps best practices, including model versioning, CI/CD pipelines, and automated deployment.

● Proficiency in data preprocessing, augmentation, and handling large-scale image/video datasets.

● Solid understanding of computer vision algorithms, including CNNs, transfer learning, and transformer-based vision models (e.g., ViT).

● Exposure to natural language processing (NLP) techniques is a plus.

• Educational Qualifications:

• B.E./B.Tech/M.Tech/MCA in Computer Science, Electronics & Communication, Electrical Engineering, or a related field.
• A master’s degree in computer science, Artificial Intelligence, or a specialization in Deep Learning or Computer Vision is highly preferred

Sizzle is an exciting new startup that’s changing the world of gaming.  At Sizzle, we’re building AI to automate gaming highlights, directly from Twitch and YouTube streams. We’re looking for a superstar Python expert to help develop and deploy our AI pipeline. The main task will be deploying models and algorithms developed by our AI team, and keeping the daily production pipeline running. Our pipeline is centered around several microservices, all written in Python, that coordinate their actions through a database. We’re looking for developers with deep experience in Python including profiling and improving the performance of production code, multiprocessing / multithreading, and managing a pipeline that is constantly running. AI/ML experience is a plus, but not necessary. AWS / docker / CI/CD practices are also a plus. If you are a gamer or streamer, or enjoy watching video games and streams, that is also definitely a plus :-)

You will be responsible for:

• Building Python scripts to deploy our AI components into pipeline and production
• Developing logic to ensure multiple different AI components work together seamlessly through a microservices architecture
• Managing our daily pipeline on both on-premise servers and AWS
• Working closely with the AI engineering, backend and frontend teams

You should have the following qualities:

• Deep expertise in Python including:
• Multiprocessing / multithreaded applications
• Class-based inheritance and modules
• DB integration including pymongo and sqlalchemy (we have MongoDB and PostgreSQL databases on our backend)
• Understanding Python performance bottlenecks, and how to profile and improve the performance of production code including:
• Optimal multithreading / multiprocessing strategies
• Memory bottlenecks and other bottlenecks encountered with large datasets and use of numpy / opencv / image processing
• Experience in creating soft real-time processing tasks is a plus
• Expertise in Docker-based virtualization including:
• Creating & maintaining custom Docker images
• Deployment of Docker images on cloud and on-premise services
• Experience with maintaining cloud applications in AWS environments
• Experience in deploying machine learning algorithms into production (e.g. PyTorch, tensorflow, opencv, etc) is a plus
• Experience with image processing in python is a plus (e.g. openCV, Pillow, etc)
• Experience with running Nvidia GPU / CUDA-based tasks is a plus (Nvidia Triton, MLFlow)
• Knowledge of video file formats (mp4, mov, avi, etc.), encoding, compression, and using ffmpeg to perform common video processing tasks is a plus.
• Excited about working in a fast-changing startup environment
• Willingness to learn rapidly on the job, try different things, and deliver results
• Ideally a gamer or someone interested in watching gaming content online

Seniority: We are looking for a mid to senior level engineer

Salary: Will be commensurate with experience. 

Who Should Apply:

If you have the right experience, regardless of your seniority, please apply.

Work Experience:  4 years to 8 years

About Sizzle

Sizzle is building AI to automate gaming highlights, directly from Twitch and YouTube videos. Sizzle works with thousands of gaming streamers to automatically create highlights and social content for them. Sizzle is available at www.sizzle.gg. 

• Cloud: GCP
• Must have: BigQuery, Python, Vertex AI
• Nice to have Services: Data Plex
• Exp level: 5-10 years.
• Preferred Industry (nice to have): Manufacturing – B2B sales

Exceed your potential… come join us!

Edubridge is hiring for Java full stack trainer| | Remote/WFH |Full time.

Job description :

• 2+ years of experience in imparting technical training/ mentoring  
• Must have very strong concepts of Software development process
• Must have hands-on and training experience on Core Java 8, Advanced Java,  Java Script, HTML, CSS, Web Architecture, Database Storage, HTTP & Rest, C# & C++, any backend language like Python
• Should have knowledge on Spring, Spring Boot and Hibernate
• Should have knowledge on Angular, Bootstrap
• Should be good in Operating systems GNU/Linux, Network fundamentals,        
• Must have knowledge on MS office (Excel/ Word/ PowerPoint)
• Must have knowledge on NetBeans/ Eclipse or any other IDE.
• Should have knowledge on any of the Unit Testing tools.                        
• Self-Motivated and passionate about technology                                      
• Excellent analytical and logical skills and team player                               
• Must have exceptional Communication Skills/ Presentation Skills                         
• Good Aptitude skills is preferred                                       

Responsibilities:                                                                                         

• Ability to quickly learn any new technology and impart the same to other employees
• Ability to resolve all technical queries of students
• Conduct training sessions and drive the placement driven quality in the training
• Must be able to work independently without the supervision of a senior person
• Participate in reviews/ meetings                                                                                                          

Qualification:                                                                               

• UG: Any Graduate in IT/Computer Science, B.Tech/B.E. – IT/ Computers
• PG: MCA/MS/MSC – Computer Science
• Any Graduate/ Post graduate, provided they are certified in similar courses

ABOUT EDUBRIDGE

EduBridge is an Equal Opportunity employer and we believe in building a meritorious culture where everyone is recognized for their skills and contribution.

Launched in 2009 EduBridge Learning is a workforce development and skilling organization with 50+ training academies in 18 States pan India. The organization has been providing skilled manpower to corporates for over 10 years and is a leader in its space. We have trained over a lakh semi urban & economically underprivileged youth on relevant life skills and industry-specific skills and provided placements in over 500 companies. Our latest product E-ON is committed to complementing our training delivery with an Online training platform, enabling the students to learn anywhere and anytime.

To know more about EduBridge please visit: http://www.edubridgeindia.com/">http://www.edubridgeindia.com/

You can also visit us on https://www.facebook.com/Edubridgelearning/">Facebook , https://www.linkedin.com/company/edubridgelearning/">LinkedIn for our latest initiatives and products