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Job Description: 

Handling desktop issues 

Need to configure, implement, maintain develop and support. 

Network trouble shooting and hardware configuration. 

Should have good working experience on DNS etc, 

Networking design and implementation. 

Hands on experience working on servers will be an added advantage. 

Good communication skills. 

Should be able to join immediately or in a week. 

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

Role: Senior Content Editor

Job Type: Full-time

Exp: 4-6 yrs

Location: Ambattur, Chennai

Requirements:

Roles and responsibilities:

• Review and edit articles for grammar, spelling, punctuation, and style.
• Ensure clarity, coherence, and consistency in writing.
• Conduct meticulous final checks to catch any errors, inaccuracies, or formatting issues.
• Collaborate with writers to address feedback and make necessary revisions.
• Uphold and enforce high editorial standards to maintain the publication's credibility.
• Verify the accuracy of information, perform fact-checking, and address any discrepancies.
• Execute the final approval process for articles before publication.
• Utilize content management systems (CMS) to publish and schedule articles and multimedia content.
• Manage tight deadlines and prioritize tasks effectively to meet publishing schedules.
• Stay on top of industry trends, developments, and best practices in the crypto and blockchain space.
• Contribute insights to discussions on improving editorial processes and content quality.

Qualifications:

• Bachelor's degree in Journalism, English, Communications, or a related field.
• Proven experience as an editor in a digital media environment.
• Exceptional command of the English language, with strong writing and editing skills.
• Familiarity with the crypto and blockchain industry is a plus.
• Proficiency in using content management systems (CMS).

We are also accepting application for this profile from Content Editor and Senior Content Editor.

Let’s get started on building your path to success!

Location: Chennai (Hybrid Model)

Commitment: Minimum 2 Years (Excluding 3 months of Probation)

Experience Level: Fresher / Entry Level

About the Role

We are looking for enthusiastic and fast‑learning fresh graduates to join our Infrastructure & Security Engineering team. This role involves hands‑on work in system administration, implementation of infrastructure and security components, and continuous learning across multiple technology vendors and cloud environments including Microsoft, AWS, GCP, and others.

You will receive extensive training, mentorship, and opportunities to work directly with customers to demonstrate new products and solutions.

Key Responsibilities

Infrastructure & System Administration

• Assist in the deployment, configuration, and administration of IT infrastructure components (servers, networks, cloud services, and security tools).
• Work with multi‑vendor environments such as Microsoft, AWS, GCP, and other OEMs.
• Support day‑to‑day system monitoring, performance checks, and troubleshooting activities.

Security Implementation

• Participate in the implementation and maintenance of security solutions including identity management, endpoint security, SIEM, firewalls, and cloud security tools.
• Learn and follow best practices for secure configurations and compliance requirements.

Scripting & Automation

• Develop automation scripts using PowerShell, Python, and JavaScript to streamline operational tasks.
• Contribute to internal automation projects and efficiency improvement initiatives.

AI/ML Exposure

• Gain foundational understanding of AI & ML product development.
• Assist in integrating AI capabilities into internal or customer‑facing tools where applicable.

Customer Engagement

• Learn and perform product demos for customers on demand.
• Participate in customer visit and meetings alongside senior team members to support solution discussions.
• Present technical concepts in clear and professional English.

Required Skills

• Basic understanding of system administration, networking, cloud fundamentals, or security concepts.
• Strong scripting capabilities in PowerShell, Python, and JavaScript.
• Curiosity and willingness to learn AI/ML‑related product development.
• Excellent verbal and written English communication skills.
• Ability to quickly learn new technologies and adapt to dynamic project needs.

Who Should Apply?

• Fresh graduates (B.E/B.Tech/B.Sc/BCA/MCA or equivalent) passionate about IT infrastructure, security, cloud, and automation.
• Individuals who are eager to learn, enthusiastic about hands‑on work, and comfortable interacting with customers.
• Candidates willing to commit 2 years to grow within the organization as we invest in extensive training and development.

Work Model

• Hybrid, based in Chennai, with flexibility to work from both office and home as needed.

What We Offer

• Structured training in multi‑cloud, security, scripting, and automation.
• Hands‑on exposure to real‑world implementation projects.
• Opportunities to explore AI/ML product workflows.
• Mentorship from experienced engineers and architects.
• Career growth into Infra Engineer, Security Engineer, Cloud Engineer, Automation Engineer, or AI/ML Solution Specialist.

Key Responsibilities:

- Design, develop, and maintain scalable applications using Python and TypeScript.

- Work with cutting-edge tech, building solutions using Large Language Models.

- Architect and optimise cloud infra for efficiency, security, and scalability (AWS, Azure, or GCP).

- Integrate and deploy APIs, databases, and front-end interfaces seamlessly.

- Lead code reviews to uphold coding standards and mentor junior developers.

Required Skills and Qualifications:

- 8+ years in software development with expertise in Python and TypeScript.

- Exposure to building or integrating solutions using LLMs.

- Proven ability to lead teams or projects, ensuring high quality outcomes.

- Proficiency in managing cloud environments (AWS, Azure, or GCP).

- Hands-on experience with CI/CD pipelines, containerisation and Infrastructure-as-Code.

- Strong skills in SQL/NoSQL databases and performance tuning.

- Exceptional analytical and debugging skills.

Nice to Have:

- Experience with vector databases (e.g. Weaviate or Milvus) for semantic search or embedding storage.

- Familiarity with Gen AI frameworks and tools (e.g., LangChain, LlamaIndex).

- Familiarity with frontend frameworks (Next.js or Angular).

- Active contributions to open-source projects or a strong GitHub portfolio.

What We Offer:

- Opportunity to work with the latest in Generative AI.

- Competitive salary and comprehensive benefits.

- A forward-thinking, collaborative environment.

- Flexibility in work policies to foster a healthy work-life balance.

Responsibilities:

●     Responding promptly and professionally to customer inquiries via phone, email, and chat, ensuring accurate and timely information is provided.

●     Efficiently processing customer orders, managing delivery schedules, and coordinating with our logistics team to ensure the timely delivery of water cans.

●     Handling customer complaints and concerns in a professional manner, working diligently to resolve issues and provide satisfactory solutions.

●     Maintaining a comprehensive understanding of Bookwater products, services, and technology, enabling you to effectively address customer inquiries and concerns.

●     Collaborating with other departments to address customer needs and continuously improve the overall customer experience.

●     Monitoring and analyzing customer feedback to identify trends and areas for improvement, contributing to the enhancement of our services.

●     Assisting in the development and implementation of customer service policies and procedures to ensure consistency and excellence in our service delivery.

●     Actively participating in ongoing training and development opportunities to stay updated with industry best practices and enhance your job performance.

●     Contributing to a positive and inclusive work environment, fostering a culture of teamwork and collaboration.

Responsibilities:

• Drive innovation and manage product development teams within a fast paced, agile environment
• Cultivate an environment of continuous engineering improvement through mentoring, feedback, and metrics
• Recruit IT professionals with business and industry experience, and develop, reward and energize a competent, effective team within the technology organization.
• Lead software development teams, obtaining necessary resources, acting as an escalation point and removing impediments to achieve goals and objectives
• Engage in hands-on design and ensure alignment of strategy, architecture, tools/methods with software engineers and architects to execute product road-maps
• Collaborate with a wide variety to stakeholders within business and technology teams to drive change required to execute product road-maps
• Enable integrated teams to deliver technology solutions in support of key product initiatives by working closely with product managers, technical project managers, architects, engineers, and quality assurance