Byteridge

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

Role Summary: As a Solution Architect you craft solutions directly within our client organizations. You will craft the right architecture to solve the problem at hand, create high-level product specifications and design documents, and provide the development team with architectural blueprints and solutions.

You are an expert in most of these technologies - C# .Net/Node.js, Flutter, Android/iOS/React Native, AWS Cloud and Automation/CI-CD.

Experience: Total experience of about 12-15 years with a minimum 1 year of IT (Mobile/Web) architecture experience and at least 5 years of IT (Mobile/Web) development experience.

What Will you Need to be Successful in this Role?

- Accreditation Required

• AWS Certified Solutions Architect

- Have technical experience/expertise in at least 2 of the following stacks

• Web – C# .Net/Node.js, Java, Docker or K8s
• Mobile – Android/iOS/React Native
• Cloud – Azure/AWS/GCP
• DevOps – Automation/CI-CD

Roles & Responsibilities

- Create high-level product specifications and design documents

- Craft the right architecture to solve the problem at hand.

- Provide the development team with architectural blueprints to follow.

- Guide and assist the development team throughout the development process.

- Troubleshoot and resolve issues with coding or design while ensuring that you and the team adhere to development schedules and deadlines.

- Test the final product to ensure it is completely functional and meets requirements.

- Strong commitment to professional client service excellence

Good to have:

- AI projects exposure

Competencies

• Excellent communication skills (written, verbal and presentation)
• Encourage, motivate, and mentor team member

Excellent academic record – B.E./B.Tech/M Tech IT, CSE with MBA or M.S.

LOCATION:

All roles at Byteridge are Work from Home except in cases where Clients may ask you to work at their location or in cases where performance issues are identified. If you are asked by the Client to work in a location other than our base locations (Hyderabad, Chennai, Bangalore & Delhi) you may claim an extra reimbursement as per policy.

About the Role

We are looking for a detail-oriented and proactive Project Manager to drive successful delivery of IT projects across mobile and web platforms. You will own end-to-end project execution, ensuring delivery within scope, timelines, and budget while maintaining strong stakeholder alignment.

Key Responsibilities

• Manage end-to-end delivery of multiple IT projects across geographies
• Create detailed project plans, timelines, and execution strategies
• Allocate and manage resources effectively based on project needs
• Track project progress, measure performance, and ensure timely delivery
• Act as the primary point of contact for clients and internal stakeholders
• Communicate project status, risks, and dependencies proactively
• Identify risks, implement mitigation plans, and escalate when required
• Ensure adherence to Agile practices and SDLC processes
• Build strong relationships with clients, delivery teams, and internal stakeholders

Requirements

• 4+ years of Project Management experience
• Minimum 1 year of experience managing IT (Mobile/Web) projects
• Strong experience in Agile methodologies
• Proven track record of handling end-to-end SDLC projects
• Ability to manage multiple projects and stakeholders simultaneously
• Strong skills in estimation, planning, tracking, and scope management
• Excellent communication, stakeholder management, and problem-solving skills

Good to Have

• Technical exposure to Azure, AWS, Android, iOS, or .NET
• PMP / PRINCE2 certification
• Experience with Jira and Microsoft Office tools

What We’re Looking For

• Strong ownership and accountability
• Proactive, solution-oriented mindset
• Ability to anticipate client needs and drive outcomes
• Team player with leadership and mentoring capabilities

Work Model

This is a remote (Work from Home) role.

You may be required to work from a client location based on project requirements. Additional reimbursement will be provided as per company policy if applicable.

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

We are looking for a skilled ML Engineer with 3–5 years of experience in building and deploying production-grade AI solutions, particularly around LLMs, RAG systems, and agentic AI frameworks. The role involves designing end-to-end ML architectures, optimizing models at scale, and delivering client-ready AI solutions. You will collaborate closely with stakeholders, mentor junior engineers, and drive AI projects from experimentation to production.

What will you need to be successful in this role?

Core Technical Skills

• Strong hands-on experience with Python for ML/AI (NumPy, Pandas, Scikit-learn, PyTorch/TensorFlow)

• Proven experience deploying production LLM applications with 1M+ tokens processed

• Advanced prompt engineering expertise including ReAct, meta-prompting, and function calling

• Production experience with RAG systems including hybrid search and re-ranking

• Deep understanding of embedding models and vector databases at scale

• Experience with agentic AI frameworks (LangGraph, CrewAI, or AutoGen)

• Strong knowledge of LLM evaluation frameworks (RAGAS, LLM-as-judge patterns)

• Experience implementing multi-agent systems and orchestration

• Proficiency with cloud ML platforms (AWS SageMaker, Azure ML, or Vertex AI)

Advanced Capabilities

• Experience with model fine-tuning (LoRA, QLoRA, PEFT, instruction tuning)

• Knowledge of knowledge graphs and graph-based RAG implementations

• Understanding of model hosting, inference optimization, and cost management

• Experience with MLOps pipelines, CI/CD for ML, and model versioning

• Ability to architect end-to-end ML solutions from data ingestion to deployment

• Experience with data pipelines and ETL for ML workflows

• Proficiency in containerization and orchestration (Docker, Kubernetes)

Client Engagement & Delivery

• Experience presenting technical solutions to clients and stakeholders

• Ability to translate business requirements into technical ML solutions

• Track record of delivering client POCs and production implementations

• Experience creating technical documentation and implementation guides

Good to have

• Experience hosting private LLMs (7B-13B models on-premises or cloud)

• Knowledge of graph databases (Neo4j) and graph neural networks

• Experience with streaming and real-time ML inference

• Published research papers or contributions to open-source ML projects

• DeepLearning.AI certifications in Agentic AI, RAG, or Finetuning

• AWS/Azure ML certifications or working towards them

Competencies

• Excellent verbal and written communication skills

• Strong mentoring ability for junior ML engineers

• Self-driven with ability to work independently on complex problems

• Excellent problem-solving skills with systematic debugging approach

• Proactive ownership of projects from ideation to deployment

• Ability to stay current with rapidly evolving AI/ML landscape

• Excellent academic record – B.E./B.Tech, MCA,

Job Summary:

We are seeking an experienced Senior Full Stack Microsoft Power Apps Developer to join our dynamic team. The successful candidate will be responsible for designing, developing, and maintaining our applications using the Microsoft Power Platform, with a strong focus on Power Apps and Power BI. This role involves working closely with business stakeholders to understand requirements, provide technical expertise, and deliver innovative solutions that enhance business processes.

Key Responsibilities:

· Design and Development:

· Design, develop, and deploy in our Power Apps environments.

· Integrate Power Apps with other Microsoft products such as Power Automate, Power BI, SharePoint, and Dynamics CRM 365.

· Build new developments in our Power Apps front end to expand our product offering and product roadmap plans.

· Develop custom connectors and integrate third-party APIs and services.

· Technical Skillset:

· Conduct code reviews and ensure best practices are followed in the development process we have established.

· Work on Issues and Tasks within the DevOps portal for open items.

· Collaboration and Communication:

· Collaborate with internal teams to ensure seamless integration and deployment of Power Apps solutions.

Qualifications:

· Education:

· Bachelor’s degree in Computer Science, Information Technology, or a related field. Equivalent experience may be considered.

· Experience:

· Minimum of 5 years of experience in developing applications using Microsoft Power Apps.

· Strong experience in Microsoft Power Platform components

· Experience with SharePoint, Dynamics 365, and Azure services is highly desirable.

· Skills:

· Strong understanding of relational databases and data modeling.

· Excellent problem-solving skills and attention to detail.

· Strong communication and interpersonal skills.

· Certifications:

· Microsoft Power Platform certifications (e.g., Microsoft Certified: Power Platform Developer Associate) are preferred.

HIRING PROCESS:

Once you apply by sharing your CV and filling out the form, we would see if you are a good fit for the role.

If your CV is shortlisted, we would first have a general conversational round to know more about you which would then be followed by video discussion, technical interview round(s) and then an HR discussion.

Byteridge is currently hiring for Manual Test Engineers with experience in the ERP domain and strong hands-on skills in API testing using Postman.

Role: QA Engineer (Manual Testing)

Domain: ERP

Requirement: Must have experience with Postman for API testing

Location/Mode: Remote

About the company:

Byteridge is a digital product design and development company that builds tailored web and mobile app solutions for global clients. Recognized as a Great Place to Work for 2025-26, Byteridge is where talented professionals work on exciting, impactful products in a collaborative and growth-driven environment.

Job Description

This is an HR Generalist role wherein, you will be an integral part of our People Function team, responsible for assisting in various human resources functions and initiatives. This role offers a unique opportunity for recent graduates or individuals with limited experience to gain valuable hands-on experience and develop a strong foundation in HR practices.

Roles and Responsibilities:

1. Participate and drive creative employee engagement initiatives by coordinating with other team members.

2. Coordinate pre-onboarding schedules, induction sessions, arrange meetings with leadership, address queries, and distribute joining formalities documents, emails, etc.

3. Issuance of letters and Filing of all documents.

4. Communication : manage internal posts around company announcements, new joiners, festivals etc.

5. Handle leave management across all departments.

6. Assist in employee coordination for all internal initiatives

6. Maintaining internal data and share reports whenever required.

Good to have:

Preparing 2D creatives, Video editing, Social media management

Competencies for the role:

1. Excellent verbal and written communication skills.
2. Ability to prioritise, plan and complete work within the deadlines.
3. Complete ownership of all tasks to ensure the desired results are achieved.
4. Willingness to learn and grow.
5. Ability to act with integrity, professionalism, and confidentiality.
6. Proficiency in MS Office and strong skills in Excel.

Educational Qualification:

Business Graduate with MBA (preferred).

Location:

Work from Office - Hyderabad

ROLE SUMMARY:

• Our growing company is seeking to hire a Scrum Master who will be able to contribute to our Project Function team in organizing our ongoing and new projects. This task involves facilitating the cross-functional teams in executing the principles of Agile, organizing and participating in stakeholder meetings, and is responsible for removing the impediments that are preventing the teams from completing the work.
• To be successful as a Scrum Master, you will need to be able to work on tight deadlines, and have exceptional verbal, written, and presentation skills. MBA and at least 1 year of experience in IT industry is required for consideration.

QUALIFICATION:

• 3-6 years of experience in agile and scrum; Exposure to JIRA
• CSM/PSM Certification from Scrum Alliance (Mandatory)

ROLES AND RESPONSIBILITIES:

• 1. Lead the scrum team in using Agile methodology and scrum/KANBAN practices
• 2. Ensuring that goals, scope, and product domain are understood by everyone on the Scrum Team as well as possible
• 3. Guides and coaches the Scrum Team on how to use Agile practices and principles to deliver high quality products and services to our customers.
• 4. Responsible for ensuring Scrum/KANBAN is understood and the team adheres to Scrum/KANBAN theory, practice, and guidelines.
• 5. Training, mentoring, and supporting scrum teams to follow agile values, principles, and practices.
• 6. Coaches the Scrum team in self-organization, cross-functional skillset, domain knowledge and communicates effectively, both internally and externally working within the Scrum team.
• 7. Facilitates and supports all scrum events: Sprint Planning, Daily Scrum, Sprint Review, and Sprint Retrospective.
• 8. Be the point of contact for external communications (e.g., from customers or stakeholders), Facilitate internal communication and effective collaboration
• 9. Determining and managing tasks, issues, risks, and action items, Removing impediments to the Development Team’s progress
• 10. Monitoring progress and performance and helping teams to make improvements.
• 11. Planning and organizing demos and product/system testing.
• 12. Assist the Product Owner with the Product Backlog
• 13. Works with Agile coaches and other Scrum master's to grow within the role.
• 14. Resolve team impediments with other Scrum master's to increase the effectiveness of the application of Scrum in the organization.

COMPETENCIES:

• Excellent verbal and written communications
• Strategic decision making
• Willingness to learn and develop your skill set
• Works well within a team environment
• Logical thinker with good problem solving and analytical skills
• Willingness to get to the root of the problem
• Proactive can do and can think the approach to the job

LOCATION:

• All roles at Byteridge are Work from Home except in cases where Clients may ask you to work at their location or in cases where performance issues are identified. If you are asked by the Client to work in a location other than our base locations (Hyderabad, Chennai, Bangalore & Delhi) you may claim an extra reimbursement as per policy.

ROLE SUMMARY:

The Business Analyst is responsible for working with stakeholders to identify and analyze business needs and to develop and support in implementing solutions that support the organization's goals. The role involves gathering and analyzing data, identifying trends and patterns, and creating detailed business requirements for new or improved systems, processes, and products.

QUALIFICATIONS:

• Excellent academic record – B.E./B.Tech IT, CSE/ MCA along with MBA (preferred).
• 3-6 years of experience

ROLES AND RESPONSIBILITIES:

• Responsible for working with stakeholders to identify and analyze business needs and to develop and support in implementing solutions.
• Ability to use data processing tools for data transformation. Gathering and Analyzing data, identifying trends and patterns
• Develop detailed business requirements for new or improved systems, processes, and products while you collaborate with development teams to ensure that solutions meet business requirements.
• Monitor and report on the progress of projects along with managing testing and deployment. Also provide training and support to end users.
• Solid technical background with understanding and/or hands-on experience in software development and web technologies and staying up to date with industry trends and best practices.
• Aim to align your knowledge against BABoK and certification aspirations (ECBA, CCBA or CBAP)

COMPETENCIES:

• Strong analytical and problem-solving skills.
• Excellent communication and stakeholder management skills.
• Experience with data analysis tools and methodologies.
• Good Understanding of project management skills.
• Experience with Agile development methodologies is a plus.

LOCATION:

All roles at Byteridge are Work from Home except in cases where Clients may ask you to work at their location or in cases where performance issues are identified. If you are asked by the Client to work in a location other than our base locations (Hyderabad, Chennai, Bangalore & Delhi) you may claim an extra reimbursement as per policy