
Summary of Role
Innovate to solve the world's most important challenges. We are looking for Advanced User Exp Designer with strong capabilities to design and own the product experience. The designer would be responsible for end to end interaction and visual design.
Responsibilities
- Own the design execution while working closely with key stakeholders in design, engineering and business stakeholders to solve user needs and business goals
- Demonstrate mastery of the end-end UX process, including user research for discovery and product definition, and multiple methods of formal and informal user evaluations
- Demonstrate a strong understanding of Agile / Lean UX methodologies
- Prioritize backlog effectively; communicate clear timelines and status updates at all levels
- Guide effective documentation and communication of design - via wireframes, mockups, prototypes and user stories
- Conduct research and evaluation of designs, as well as emerging technology, industry, and market trends
Must Have Background for this Role:
- Bachelor's degree preferably from tier 1/ tier 2 design school.
- Outstanding user experience design portfolio
- Bachelors degree in human factors, psychology, user experience design or related degree
- Some experience in user experience design, interaction design or human factors
- Proficient user experience design skills, e.g., customer journey map, experience diagramming, task analysis, workflow design, etc.
- Experience with observational research and usability testing
- Graduate degree in user experience design, human factors, interaction design or related discipline.
- Fluent with design sketching and prototyping tools, e.g., Axure, Balsamiq, Visio, etc.
- Experience with design trends, benchmarking, forecasting and concept creation
- Experience with project planning, scoping and execution in a phase-gate and/or agile environment
Required Skills for this Role:
- Has 5+ years of experience (e.g. interaction, graphic, visual, product, industrial), User Experience, HCI, or a related field
- Must have strong background in interaction/UX design and continue to be hands-on as an interaction designer
- Conducts user research to understand user needs, mental models and working contexts
- Synthesizes output of stakeholder research & creates visualizations that effectively summarize key insights related to user and customer needs and behaviors, product definition.
- Has real-world experience in managing projects & stakeholders
- Skilled in standard design & wireframing tools (Adobe CC, Sketch) and visual communication

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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
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• 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
Strong Engineering Manager / Technical Leadership Profile
Mandatory (Experience 1): Must have 9+ years of experience in software engineering with experience building complex, large-scale products
Mandatory (Experience 2): Must have 2+ years of experience as an Engineering Manager / Tech Lead with people management responsibilities
Mandatory (Tech Skills 1): Strong technical foundation with hands-on experience in Java (or equivalent compiled language), scripting languages (Python, PHP, Ruby, Perl, Node.js), web technologies (HTML, CSS, Javascript), and databases (SQL/NoSQL)
Mandatory (Tech Skills 2): Proven ability to solve large-scale technical problems and guide teams on architecture, design, quality, and best practices
Mandatory (Leadership & Delivery): Experience in leading cross-functional teams, planning and tracking delivery, mentoring engineers, conducting performance reviews, and driving engineering excellence
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Mandatory (Communication): Excellent communication and interpersonal skills to influence technical direction and stakeholder decisions
Mandatory (Company): Top product companies (logistics, supply chain, e-commerce, or B2B SaaS at large scale)
Mandatory (Stability): Must have stayed for at least 2 years with each of the previous companies
Mandatory (Education): B.Tech in computer science or related field from Tier 1, Tier 2 colleges
Mandatory (Note 1): Education can be ignored for candidates with proven experience in strong, reputed product companies
Mandatory (Note 2): This role is a balanced mix of individual contribution and leadership responsibilities (50–50)
Mandatory (Note 3): Avoid candidates from small startups (<100 employees), MNC, semi fintech like banks, BFSI, and services background
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Location: Hyderabad, India (On-site Only)
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Required Skillset:
l 9+ years of professional experience writing production-grade software, including experience leading the design of complex systems.
l Strong expertise in Python (Django or equivalent frameworks) and REST API development.
l Solid exp of frontend frameworks such as React and TypeScript.
l Strong understanding of relational databases (MySQL or PostgreSQL preferred).
l Experience with CI/CD pipelines, containerization (Docker), and orchestration (Kubernetes).
l Hands-on experience with cloud infrastructure (AWS preferred)
l Proven experience debugging complex production issues and improving observability.
Preferred Skillset:
l Experience in enterprise SaaS or B2B systems with multi-tenancy, authentication (OAuth, SSO, SAML), and data partitioning. Exposure to Kafka or RabbitMQ, microservices.
l Knowledge of event-driven architecture, A/B testing frameworks, and analytics pipelines.
l Familiarity with accessibility standards and best practices Agile/Scrum methodologies.
l Exposure to the Open edX ecosystem or open-source contributions in education tech.
l Demonstrated history of technical mentorship, team leadership, or cross-team collaboration.
Tech Stack:
l Backend: Python (Django), (Celery,Redis Asynchronous workflows), REST APIs
l Frontend: React, TypeScript, SCSS
l Data: MySQL, Snowflake, Elasticsearch
l DevOps/Cloud: Docker,Kubernetes,GitHub Actions,AWS
l Monitoring: Datadog
l Collaboration Tools: GitHub, Jira, Slack, Segment
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l Lead, guide, and mentor a team of Python/Django engineers, offering hands-on technical support and direction.
l Architect, design, and deliver secure, scalable, and high-performing web applications.
l Manage the complete software development lifecycle including requirements gathering, system design, development, testing, deployment, and post-launch maintenance.
l Ensure compliance with coding standards, architectural patterns, and established development best practices.
l Collaborate with product teams, QA, UI/UX, and other stakeholders to ensure timely and high-quality product releases.
l Perform detailed code reviews, optimize system performance, and resolve production-level issues.
l Drive engineering improvements such as automation, CI/CD implementation, and modernization of outdated systems.
l Create and maintain technical documentation while providing regular updates to leadership and stakeholders.
Hiring : SFCC Release Analyst
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Location : Remote
We are looking for SFCC Release analyst with 5+ yr of experience with SFCC release management and data loads
heads to solve complex business problems
- Develop statistical, and machine learning-based models/pipelines/methods to improve business
processes and engagements
- Conduct sophisticated data mining analyses of large volumes of data and build data science
models, as required, as part of the credit and risk underwriting solutions; customer engagement and
retention; new business initiatives; business process improvements
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- Working with Application Developers on integrating machine learning algorithms and data mining
models into operational systems so it could lead to automation, productivity increase, and time
savings
- Provide the technical direction required to resolve complex issues to ensure the on-time delivery of
solutions that meet the business team’s expectations. May need to develop new methods to apply
to situations
- Knowledge of how to leverage statistical models in algorithms is a must
- Experience in multivariate analysis; identifying how several parameters can affect
retention/behaviour of the customer and identifying actions at different points of the customer lifecycle
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- Great understanding of the data science landscape and what tools to leverage for different
problems
- A great structured thinker that could bring structure to any data science problem quickly
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stories to senior leadership
- Excellent capability to organize large data sets collected from many sources (web APIs and internal
databases) to get actionable insights
- Initiate data science programs in the team and collaborate across other data science teams to build
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java developer,You will design and develop high-quality scalable microservices in a cloud environment.
● You will be required to quickly perform POCs to evaluate different tools, technologies or products.
● You will proactively be learning and adopting the industry best practices of software development.
● You will raise the bar on quality, testability and performance of the module.
● You will be collaborating with other team members and stake-holders for the delivery. skills - java , system design, microservices, aws, springboot, cloud.
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- Write clean code. ...
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As a Java Developer, you will be responsible for developing cutting edge health-tech applications that include high scale transaction processing, intelligent bot based programs and data analytics.
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What you need to have:- B.Tech/ B.E. (with 65% marks)
- Expertise at hands on programming in JAVA and J2EE
- Proven expertise in Java interfaces with MongoDB (or similar noSQL databases) as well as relational databases (mySQL, Postgres etc)
- Experience in atleast one 6+ months development project involving SpringBoot and Hibernate
- Strong understanding of application server infrastructure
- Good working knowledge of Maven based build systems
- Good understanding of build and deployment pipelines that involve ANT and Jenkins
- Understanding of code versioning tools, such as Git or SVN
- Good knowledge of working on Rest API’s, Webservices
- Excellent problem-solving and interpersonal skills
- Hands on experience with Lucene/ Solr
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- Knowledge of NLP
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Developing and maintaining all server-side network components.
Ensuring optimal performance of the central database and responsiveness to front-end
requests.
Collaborating with front-end developers on the integration of elements.
Designing customer-facing UI and back-end services for various business processes.
Developing high-performance applications by writing testable, reusable, and efficient code.
Implementing effective security protocols, data protection measures, and storage solutions.
Running diagnostic tests, repairing defects, and providing technical support.
Documenting Node.js processes, Typescript processes including database schemas, as well as
preparing reports.
Recommending and implementing improvements to processes and technologies.
Keeping informed of advancements in the field of Typescript and Node.js development.
Skills:
Extensive knowledge of JavaScript, web stacks, libraries, and frameworks.
2-4 years of strong proficiency in Node.js and Typescript. And core principles of javascript.
Experience in test-driven development.
Experience working with SQL based DBs, REST API.
Strong interpersonal, communication, and collaboration skills.
Exceptional analytical and problem-solving aptitude.
Knowledge about the Software Development Life Cycle Model, development best practices
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