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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

Company: BigThinkCode Technologies

URL: https://www.bigthinkcode.com/

Experience required: 3-4 years

Work location: Chennai

Joining time: Immediate – 2 weeks

Work Mode: Work from office / Hybrid

About the Role

We're looking for a skilled Node.js Developer with 3+ years of experience building scalable applications using event-driven architecture within distributed systems. The ideal candidate is comfortable working on high-performance backend services and has a strong understanding of asynchronous programming patterns. Exposure to knowledge embedding and vectorization techniques is a strong plus, especially for modern data-driven or AI-powered systems.

Key Responsibilities

• Design, develop, and maintain server-side applications using Node.js
• Build and optimize scalable, event-driven systems in distributed environments
• Implement asynchronous workflows, message queues, and pub/sub architectures
• Collaborate with cross-functional teams to define and deliver backend solutions

Required Skills

• 3+ years of hands-on experience with Node.js
• Strong understanding of event-driven architecture and non-blocking I/O
• Experience working with distributed systems and microservices architecture
• Proficiency in RESTful API design and implementation
• Experience with databases such as MongoDB, PostgreSQL, or MySQL
• Experience with containerization tools like Docker and orchestration tools like Kubernetes

Good to Have

• Experience with knowledge embedding and vectorization techniques
• Familiarity with vector databases (e.g., Pinecone, Weaviate, FAISS)
• Understanding of cloud platforms (AWS, Azure, or GCP)

Why Join Us:

• Collaborative work environment.
• Exposure to modern tools and scalable application architectures.
• Medical cover for employee and eligible dependents.
• Tax beneficial salary structure.
• Comprehensive leave policy
• Competency development training programs.

Key Responsibilities

• Core PLM Support & Expertise
• Manage and support key Teamcenter functionalities including:
• Parts & Components Management
• CAD Data Management & Integration
• BOM Management
• Change Management
• Supplier Collaboration
• Enterprise Data Integration
• Configuration & Customization
• Configure and customize Teamcenter modules to meet evolving business requirements
• Ensure alignment with PLM industry best practices and internal process standards
• Troubleshooting & End-User Support
• Investigate, diagnose, and resolve Teamcenter-related issues
• Deliver Tier 2/3 application support and guidance to end-users and business stakeholders
• Maintain system uptime and performance, ensuring minimal business disruption
• Code Implementation
• Develop and maintain clean, efficient code using Teamcenter-specific technologies such as:
• Java, C++, ITK (Integration Toolkit), SOA frameworks
• Support enhancements and new functionality development
• System Integration
• Collaborate with IT and engineering teams to integrate Teamcenter with ERP, CAD, and other enterprise platforms
• Enable seamless data flow and automation across interconnected systems
• Solution Development
• Design and deliver custom solutions within the Teamcenter platform, including:
• Workflows, UI modifications, reports, and extension modules
• Support ongoing innovation and platform optimization

Qualifications

• Bachelor’s degree in computer science, Engineering, or related technical field preferred
• 6+ years of experience supporting and developing within the Teamcenter PLM ecosystem
• Strong hands-on experience with Java, C++, ITK, and SOA for Teamcenter development
• Solid understanding of PLM best practices and enterprise system integration
• Proven problem-solving skills and the ability to manage technical escalations

Key Responsibilities:

Sales and Business Development:

• Lead the branch team to achieve sales targets for Loan Against Property (LAP) products, ensuring overall growth in the branch's portfolio.
• Develop and implement strategies to acquire new clients, cross-sell products, and maintain long-term relationships with customers.
• Monitor market trends and competitor activities to identify opportunities and stay ahead of market demands.
• Promote the LAP product offerings through various channels, including partnerships, referral networks, and local events.

Team Leadership and Management:

• Manage, mentor, and guide the sales and operational teams to achieve individual and branch-wide sales goals.
• Conduct regular performance reviews and provide coaching and training to enhance the sales team’s skills.
• Ensure adherence to organizational standards and processes in customer acquisition and relationship management.

Customer Relationship Management:

• Establish and maintain strong relationships with key clients, stakeholders, and other business partners.
• Provide high-level support for the LAP product offering, including assisting clients with queries and guiding them through the loan process.
• Resolve customer issues or concerns related to LAP applications and ensure timely and efficient processing.

Operational Management:

• Oversee the day-to-day operations of the branch, including loan origination, documentation, disbursement, collections, and compliance.
• Ensure the branch maintains a smooth, efficient, and compliant operation in line with internal policies and external regulations.
• Monitor and maintain branch financials, including revenue, expenses, and profitability.

Reporting and Compliance:

• Provide regular reports to senior management on branch performance, including sales achievements, operational issues, and market trends.
• Ensure all processes comply with regulatory guidelines, including KYC (Know Your Customer) and AML (Anti-Money Laundering) policies.

• A Natural Language Processing (NLP) expert with strong computer science fundamentals and experience in working with deep learning frameworks. You will be working at the cutting edge of NLP and Machine Learning.

Roles and Responsibilities

• Work as part of a distributed team to research, build and deploy Machine Learning models for NLP.
• Mentor and coach other team members
• Evaluate the performance of NLP models and ideate on how they can be improved
• Support internal and external NLP-facing APIs
• Keep up to date on current research around NLP, Machine Learning and Deep Learning

Mandatory Requirements

• Any graduation with at least 2 years of demonstrated experience as a Data Scientist.

Behavioral Skills

Strong analytical and problem-solving capabilities.

• Proven ability to multi-task and deliver results within tight time frames
• Must have strong verbal and written communication skills
• Strong listening skills and eagerness to learn
• Strong attention to detail and the ability to work efficiently in a team as well as individually

Technical Skills

Hands-on experience with

• NLP
• Deep Learning
• Machine Learning
• Python
• Bert

Preferred Requirements

• Experience in Computer Vision is preferred