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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

Job Title: Engineering Lead

Role Overview:

We are looking for an Engineering Lead to take end-to-end ownership of technical delivery, design, architecture, and quality for our multi-customer SaaS product. You will lead and mentor the engineering team, drive scalable design and high-quality delivery, manage releases across customer environments, and ensure the stability and performance of the product in production.

Key Responsibilities:

·        Delivery & Release Management: Plan and deliver product features and customer-specific releases on time with high quality, ensuring operational readiness and stability across environments.

·        Technical Design & Architecture: Lead technical design and high-scale architecture for new and existing modules, ensuring scalability, performance, and maintainability.

·        Team Management: Mentor and guide engineers, ensure clarity in priorities, unblock challenges, and foster a culture of ownership and quality within the team.

·        Requirement to Delivery: Work with product and customer teams to understand requirements, translate them into designs and implementation plans, and track them through to delivery.

·        Product Quality: Establish and maintain engineering best practices, code reviews, automated testing, and CI/CD pipelines to ensure high product quality and reliability.

·        Troubleshooting & Support: Lead the team in debugging complex issues in development and production, ensuring minimal downtime and strong customer satisfaction.

·        Hands-on Contribution: Actively contribute technically where needed, providing architectural guidance and coding support aligned with the team’s stack.

Requirements:

·        Experience: 8–12 years in software engineering with at least 3+ years in a lead role.

·        Proven experience in designing scalable, high-performance architectures and technical solutions.

·        Experience delivering multi-customer SaaS product releases, including phased and customer-specific configurations.

·        Strong track record of ensuring product quality and stability through structured processes, testing, and monitoring.

·        Ability to troubleshoot complex issues and guide teams towards resolution.

·        Experience in mentoring and managing engineering teams to drive aligned delivery and high performance.

·        Hands-on experience with your relevant tech stack (e.g., Python, Django, Angular, AWS, Docker, Redis, RabbitMQ).

·        Excellent communication and collaboration skills with Product, QA, and Customer Support teams.

·        Bachelor’s or Master’s degree in Engineering or related field.

About Kanerika

Who we are:

Kanerika Inc. is a premier global software products and services firm that specializes in providing innovative solutions and services for data-driven enterprises. Our focus is to empower businesses to achieve their digital transformation goals and maximize their business impact through the effective use of data and AI. We leverage cutting-edge technologies in data analytics, data governance, AI-ML, GenAI/ LLM and industry best practices to deliver custom solutions that help organizations optimize their operations, enhance customer experiences, and drive growth.

Awards and Recognitions:

Kanerika has won several awards over the years, including:

·         CMMI Level 3 Appraised in 2024.

·         Best Place to Work 2022 & 2023 by Great Place to Work®.

·         Top 10 Most Recommended RPA Start-Ups in 2022 by RPA today.

·         NASSCOM Emerge 50 Award in 2014.

·         Frost & Sullivan India 2021 Technology Innovation Award for its Kompass composable solution architecture.

·         Recognized for ISO 27701, 27001, SOC2, and GDPR compliances.

·         Featured as Top Data Analytics Services Provider by GoodFirms.

Role overview

We are seeking a Technical Project Manager with a strong development background and deep understanding of Agile and Scrum methodologies. The ideal candidate must have previous experience as a software developer, proficiency in one or more programming languages, and hands-on exposure to software delivery processes. This is a leadership role that requires both technical insight and project management expertise..

What You Will Do:

·         Lead and manage cross-functional engineering teams to deliver high-quality software projects.

·         Serve as the bridge between technical teams and business stakeholders, translating business requirements into technical solutions.

·         Own the software development lifecycle (SDLC), ensuring Agile best practices, are followed.

·         Facilitate Agile ceremonies: sprint planning, daily stand-ups, retrospectives, backlog grooming, and demos.

·         Identify and mitigate risks, manage dependencies, and resolve conflicts proactively.

·         Oversee task breakdowns, sprint tracking, effort estimations, and timelines.

·         Collaborate with developers and architects to ensure alignment of technical design with business objectives.

·         Monitor engineering progress using JIRA or equivalent Agile tools.

·         Ensure integration of DevOps practices, testing strategies, and release management.

Employee Benefits

1. Culture:

a. Open Door Policy: Encourages open communication and accessibility to management.

b. Open Office Floor Plan: Fosters a collaborative and interactive work environment.

c. Flexible Working Hours: Allows employees to have flexibility in their work schedules.

d. Employee Referral Bonus: Rewards employees for referring qualified candidates.

e. Appraisal Process Twice a Year: Provides regular performance evaluations and feedback

2. Inclusivity and Diversity:

a. Hiring practices that promote diversity: Ensures a diverse and inclusive workforce.

b. Mandatory POSH training: Promotes a safe and respectful work environment.

3. Health Insurance and Wellness Benefits:

a. GMC and Term Insurance: Offers medical coverage and financial protection.

b. Health Insurance: Provides coverage for medical expenses.

c. Disability Insurance: Offers financial support in case of disability.

4. Child Care & Parental Leave Benefits:

a. Company-sponsored family events: Creates opportunities for employees and their families to bond.

b. Generous Parental Leave: Allows parents to take time off after the birth or adoption of a child.

c. Family Medical Leave: Offers leave for employees to take care of family members' medical needs.

5. Perks and Time-Off Benefits:

a. Company-sponsored outings: Organizes recreational activities for employees.

b. Gratuity: Provides a monetary benefit as a token of appreciation.

c. Provident Fund: Helps employees save for retirement.

d. Generous PTO: Offers more than the industry standard for paid time off.

e. Paid sick days: Allows employees to take paid time off when they are unwell.

Thanks,

Roles and Responsibilities

Guidewire developer-PAN India

Role : Guidewire developer

Location : Pan India

Years of experience : 3 - 15 years

Roles and Responsibilities :

• Candidate having at least 3+ years of experience as guidewire developer
• Candidate having experience in Policy center(PC) or Claim center(CC)
• Experience in configuration or integration
• Candidate having Specialist certificate of guidewire

Regards

Sundaravalli

• Inside Sales, Lead Generation Executive
• Email marketing/Cold calling, 1-2 years of experience
• International sales experience preferred
• Relevant IT/ERP sales Experience

• Ensure the technical feasibility of UI/UX designs
• Optimize application for maximum speed and scalability
• Assure that all user input is validated before submitting to back-end
• Use markup languages like HTML to create user-friendly web pages
• Design mobile-based features
• Collaborate with back-end developers and web designers to improve usability
• Maintain and improve website
• Develop new user-facing features
• Build reusable code and libraries for future use
• Optimize applications for maximum speed
• Get feedback from, and build solutions for, users and customers
• Write functional requirement documents and guides
• Create quality mockups and prototypes

• Proven work experience of 2+ years as a Front-end developer
• 1+ years experience of working in ReactJS
• Hands on experience with markup languages, including HTML5, CSS3
• Experience with JavaScript, CSS and jQuery
• Good understanding of asynchronous request handling, partial page updates, and AJAX
• Familiarity with browser testing and debugging
• In-depth understanding of the entire web development process (design, development and deployment)
• Understanding of layout aesthetics
• Knowledge of SEO principles
• Familiarity with software like Adobe Suite, Photoshop and content management systems
•