Byteridge

In this role, you will be responsible for supporting people and processes to ensure projects are delivered as per scope, budget and timelines.

This role includes developing detailed project plan and comprehensive project documentation, managing the project team, project resources and their availability, measuring the performance, tracking progress and communicating project status to client and internal stakeholders.

You will be a reliable and crucial team member who can anticipate client needs.

As a Project Manager, you will be the point of contact for all the stakeholders from initiation to closure and will be responsible to lead the team that is responsible for achieving the project objectives. You will work towards balancing the competing constraints on the project with the team and resources available.You will report the project status to client and internal stakeholders and escalate issues as needed. You will perform risk management to identify and mitigate risks and maintain a strong advocacy within your spheres of influence.

QUALIFICATIONS:

• Project Manager with 7+ years experience: Including minimum 2 years of IT (Mobile/Web) project management experience.
• Experience in Agile methodology.
• Must have handled SDLC projects as Project Manager

What will you need to be successful in this role?

• Handle a portfolio of projects and clients in parallel and across geographies.
• Develop an execution plan for projects and people in the team.
• Maintain strong relationships with product delivery, the sales team, client and account managers
• Expertise in project estimation, planning, tracking, scope control, risk and issues management as well as status reporting

Good to have:

• Technical experience in Azure, AWS, Android, iOS, .Net
• PMP/Prince 2 certification
• Jira project management tool and strong working knowledge of Microsoft Office

COMPETENCIES:

• Strong commitment to professional client service excellence
• Excellent communication (written, verbal and presentation), persuasive and negotiating skills
• Encourage, motivate, and mentor team members
• Proactive can do and can think the approach to the job

In this role, you will be responsible for supporting people and processes to ensure projects are delivered as per scope, budget and timelines.

This role includes developing detailed project plan and comprehensive project documentation, managing the project team, project resources and their availability, measuring the performance, tracking progress and communicating project status to client and internal stakeholders.

You will be a reliable and crucial team member who can anticipate client needs.

As a Project Manager, you will be the point of contact for all the stakeholders from initiation to closure and will be responsible to lead the team that is responsible for achieving the project objectives. You will work towards balancing the competing constraints on the project with the team and resources available.You will report the project status to client and internal stakeholders and escalate issues as needed. You will perform risk management to identify and mitigate risks and maintain a strong advocacy within your spheres of influence.

QUALIFICATIONS:

• Project Manager with 7+ years experience: Including minimum 3 years of IT (Mobile/Web) project management experience.
• Experience in Agile methodology.
• Must have handled SDLC projects as Project Manager

What will you need to be successful in this role?

• Handle a portfolio of projects and clients in parallel and across geographies.
• Develop an execution plan for projects and people in the team.
• Maintain strong relationships with product delivery, the sales team, client and account managers
• Expertise in project estimation, planning, tracking, scope control, risk and issues management as well as status reporting

Good to have:

• Technical experience in Azure, AWS, Android, iOS, .Net
• PMP/Prince 2 certification
• Jira project management tool and strong working knowledge of Microsoft Office

COMPETENCIES:

• Strong commitment to professional client service excellence
• Excellent communication (written, verbal and presentation), persuasive and negotiating skills
• Encourage, motivate, and mentor team members
• Proactive can do and can think the approach to the job

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