ML Engineer ( Infrastructure & Optimisation)

at Byteridge

ML Engineer ( Infrastructure & Optimisation)

Byteridge

Company

Home

ML Engineer ( Infrastructure & Optimisation)

at Byteridge

Posted by Sweety S

5 - 7 yrs

₹16L - ₹25L / yr

Bengaluru (Bangalore), Chennai, Hyderabad, Pune, Noida, Gurugram, Mumbai

Skills

Python

Amazon Web Services (AWS)

CUDA

GPU computing

Amazon EC2

Amazon S3

Large Language Models (LLM)

PyTorch

NVIDIA

MLOps

Machine Learning (ML)

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

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.

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

Users love Cutshort

Read about what our users have to say about finding their next opportunity on Cutshort.

Shubham Vishwakarma

Full Stack Developer - Averlon

I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.

Companies hiring on Cutshort

About Byteridge

Founded :

2008

Type :

Services

Size :

100-1000

Stage :

Profitable

About

We are a technology company with a proven track record of partnering with organizations to deliver innovative mobile and cloud solutions & products. We believe that cloud and mobility are the means to deliver solutions to tomorrow’s challenges. Over the last 10 years, we have completed over 200 projects, and many of those have reached the top of the AppStores. We have worked across a number of categories including Fintech, Social, Retail, Enterprise, Lifestyle, Ticketing, Sports, Healthcare, Entertainment and many more. We have worked with both Fortune 500 companies and innovative startups, and delivered successful products. We have a 40+ people team which, includes UI/UX designers, the best breed of engineers for iOS and Android, Full Stack Developers and Innovators. Other than design and development, Byteridge helps companies understand and define the product that needs to be built. This includes working with the stakeholders to understand the business, recognizing areas of improvement and aligning the project scope with the customers problems.

Yohanna Fernandes

Connect

Company social profiles

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- Hands on experience with Android's deggugging, unit- testing , memory and performance optimization tools
- Hands on google maps aps and third party aps
- Hands on experience of new android architectures and components like MVVM, Room Persistence , Dagger 2, Observables , Rx Java
- Must have experience on Kotlin

PHP Developer - Code Igniter

at Vervali Systems

2 recruiters

Posted by Vervali Systems Pvt. Ltd.

Dadar, Mumbai, vasai

3 - 6 yrs

₹2L - ₹4.8L / yr

PHP

CodeIgniter

MySQL

Laravel

Vervali is seeking PHP Developer (Code Igniter / Laravel)

Location: Mumbai - Western Track (Location varies as per the requirement)

Experience: 3+ Yrs to 6 Yrs in Code Igniter
Ecommerce Domain experience is Must

Immediate Joiners

Responsibilities :

- This position requires a combination of programming skills (namely PHP(Laravel / Codeigniter), HTML5, CSS3, and JavaScript) and aesthetics (understanding element arrangements on the screen, the color and font choices, and so on).
- The candidate should have a strong understanding of industry trends and experience with responsive and adaptive design is strongly preferred.
- Integration of user-facing elements developed by front-end developers with server-side logic
- Writing reusable, testable, and efficient code
- Design and implementation of low-latency, high-availability, and performant applications
- Implementation of security and data protection

Requirements & Skills :

- Must have 3+ Yrs of experience in Code Ignitor Framework in eCommerce Website development.
- Looking for an experienced PHP Developer with expertise in Codeigniter / Laravel framework and MySQL.
- Good understanding of front-end technologies, including HTML5, CSS3, JavaScript, jQuery.
- MVC strong knowledge.
- Must have worked on CorePHP.
- Database - MySQL.
- Must have experience building complex CRMs.
- The candidate should have a strong understanding of industry trends and experience with responsive and adaptive design is strongly preferred.
- Comfortable working with debugging tools like Firebug, Chrome inspector, etc.
- Knowledge of how to interact with RESTful APIs and formats (JSON, XML)
- Go-Getter attitude