Senior Manager-Accounts

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

Golang / GCP Lead Developer

Experience: 5+ Years (with at least 3 years of hands-on experience in GoLang and GCP)

Salary: 14 LPA

Location: Remote

Employment Type: Full-time

Detailed Job Description / Skill Set:

We are looking for a Lead Developer with 5 years of experience in development projects, including at least 3 years of hands-on experience in GoLang and Google Cloud Platform (GCP).

The candidate should have prior experience in leading application development projects using GoLang and GCP technologies.

Knowledge or experience in the Cable domain, OSS/BSS systems, and an understanding of Cable MSO operations is preferred.

The role requires strong coordination skills to manage multiple stakeholders and ensure timely delivery of high-quality project deliverables.

Strong written and verbal communication skills are essential.

Mandatory Skills:

GoLang

GCP

Good to Have Skills:

OSS/BSS

Job Description For Content Writer:

 1. Regularly produce various content types, including email, social media posts, blogs, and white papers.

 2. Actively manage and promote our blog, and pitch articles to relevant third-party platforms.

 3. Edit content produced by other members of the team.

 4. Collaborate with other departments to create innovative content ideas.

 5. Create eye-catching and innovative headlines and body copy.

 6. Writing a wide variety of topics for multiple platforms

 Content Writer Skills:

 • Excellent verbal and written communication skills.

 • 2-6 years of experience in technical writing.

 • Creative and innovative thinker and planner.

 • Assists team members when needed to accomplish team goals.

 • Good interpersonal and communication skills

 • Familiarity with keyword placement and SEO

 • The ability to consistently meet tight deadlines

Job Location: Noida Sec63

Job Profile: Content Writer

Job Timing: Day Shift 

Salary Package: Depends on skills

Venue: Graygraph Technologies, Second Floor, Block- A128, Sector 63, Noida.

What you need to have:

• Bachelors/Masters' degree in related field
• 4-6 years of experience in PR, branding or a related field
• Excellent verbal and written communication skills
• Excellent organisational skills and attention to detail
• Prior B2B or startup experience preferred