Data Scientist

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

• Implementing world-class Enginerring practices for all the product development teams at WeCP. Ensure these are evangelized and followed.
• Build and maintain SDLC across all of our development and deployment environments: developer, QA, to our production.
• Envision, implement and rollout best development and devops tooling and automation for all of our services.

• Minimum of 5+ years of experience in engineering with mentoring or leading a team
• Hands-on experience with Nodejs, Angular and AWS is mandatory.
• Tech stack: MEAN, AWS, JavaScript, Docker, SRS
• Experience  Dockerizing existing web applications
• Setting up alerts and monitoring for system infrastructure
• Monitoring system and application health and optimising the cost
• Experience with security, threat modeling, penetration testing, static analysis

Job Summary:

We are seeking a motivated and dynamic Medical Product Representative to join our team. This role involves fieldwork, building and maintaining relationships with healthcare professionals, promoting our medical products, and achieving sales targets. The ideal candidate will have a strong background in sales, excellent communication skills, and a passion for healthcare.

Key Responsibilities:

Promote Medical Products: Conduct regular visits to clinics, hospitals, and healthcare facilities to promote our products and educate healthcare professionals about their benefits.

Sales Achievement: Meet or exceed sales targets by developing strategies to attract new clients and retain existing ones.

Product Knowledge: Stay updated on product features, competitive positioning, and the latest industry trends to provide accurate information and address customer inquiries effectively.

Customer Relationship Management: Build strong relationships with doctors, pharmacists, and other key stakeholders to increase brand visibility and foster loyalty.

Reporting: Keep detailed records of daily activities, including client interactions, sales, and any issues encountered, and provide regular feedback to the management team.

• Bachelors/ Masters degree in computer science, Engineering or a related subject
• Minimum of 5 years of work experience in mobile application development
• Proficiency in Problem Solving, Data Structures, and Algorithms
• Strong knowledge of design concepts and constraints on mobile platforms
• Proficiency in Java/ Android/ Excellent in Kotlin & Flutter language
• Demonstrable experience building excellent mobile apps that are currently in Google PlayStore
• MVP/ MVVM architecture
• Firebase services
• Local databases (SQLite, firebase DB)/ORM (Green DAO, Room)
• Experience with a scalable architecture, while maintaining a hands-on role with code development
• Excellent teamwork skills, flexibility, and ability to handle multiple tasks
• Excellent analytical, problem-solving skills and Setting & following targets and timelines
• High proficiency in Android frameworks and core components
• Bug fixing