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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
Experience: 6+ Years
Location: Chennai & Pune
Work Model: Hybrid
Notice Period: Immediate Joiners Preferred
Role Overview
We are looking for a highly skilled Senior Python Engineer to design, develop, and scale robust backend systems and data-driven applications. The ideal candidate should have strong problem-solving skills, experience with modern Python frameworks, and exposure to cloud and emerging technologies like Generative AI and LLMs.
Key Responsibilities
- Design, develop, and maintain scalable applications using Python
- Build and optimize RESTful APIs using Flask or FastAPI
- Work on data manipulation, processing, and transformation using Python libraries
- Collaborate with cross-functional teams to define and deliver high-quality solutions
- Develop efficient, reusable, and reliable code with strong attention to performance
- Implement containerization and orchestration using Docker and Kubernetes
- Ensure application security, data protection, and compliance best practices
- Manage code versioning using Git and follow CI/CD best practices
- Contribute to cloud-based deployments and infrastructure
- Explore and implement solutions using Generative AI and Large Language Models (LLMs)
Required Skills & Qualifications
- 6+ years of hands-on experience in Python development
- Strong understanding of Python fundamentals and problem-solving skills
- Experience with data manipulation libraries (e.g., Pandas, NumPy)
- Expertise in building REST APIs using Flask or FastAPI
- Solid understanding of ORM frameworks (e.g., SQLAlchemy, Django ORM)
- Experience with cloud platforms (AWS, Azure, or GCP)
- Hands-on experience with Docker and Kubernetes
- Strong knowledge of application security principles
- Proficiency in Git and version control practices
- Exposure to Generative AI concepts and working with LLMs
Full Stack Development:
● Develop, test, and deploy high-quality software solutions across front-end and back-end stacks.
● Implement responsive and dynamic web applications using JavaScript, Angular, or React.
● Ensure backend services and APIs are well-structured and optimized for performance.
Collaboration and Stakeholder Management:
● Work closely with product managers, designers, and engineers to define technical requirements.
● Participate in code reviews and provide technical mentorship to junior developers.
Technical Expertise:
● Implement and maintain secure, scalable, and high-performance applications.
● Ensure applications meet non-functional requirements such as security, reliability, and performance.
Agile Execution & Continuous Improvement:
● Contribute to Agile development practices, including iterative releases and continuous integration.
● Identify opportunities for technical improvements and optimize existing features
Required Skills and Qualifications
● Bachelor’s/Master’s degree in Computer Science, Information Technology, or a related field.
● 6+ years of professional experience in Full Stack Development.
● Strong proficiency in Java, JavaScript, Angular, React, and RESTful APIs.
● Experience with CI/CD pipelines and DevOps tools for continuous deployment.
● Knowledge of containerization and cloud platforms such as AWS, Azure, or GCP.
● Proficiency in databases such as MongoDB, SQL, and NoSQL.
● Strong analytical, problem-solving, and debugging skills.
● Experience with Agile frameworks like Scrum or Kanban.
Exp: 3 - 6 years of experience in cloud principles, migration and methodologies
Location: Chennai
Looking for candidates with lesser notice period.
Cloud Solutions Architect will focus on migrating on-premise applications to the public cloud at the scale and speed required to enable our digital transformation.
Strategic role in migrating and deploying all cloud systems including the front-end
platforms, servers, storage, and management networks.
Architect cloud-native, hybrid, or multi-cloud solutions to meet the organization’s needs.
Develop and coordinate cloud architecture across diverse areas including application development, identity and access management, network and data management, and security.
- Strong in both Core and Apps side.
- Strong in Apps DBA areas, R12.1, R12.2, Cloning, Patching, Multinode, DMZ, Troubleshooting, Concurrent Manager, Sysadmin Activities
- Strong in Core BDA areas , Architecture, Installation, Cloning, Patching, Performance Tuning, Standby , DG, RAC, OEM, Upgrade, Migration,Troubleshooting, Replication tool
- Should be flexible for timng
Looking for a fresher willing to learn and upgrade themselves on future trends.
ROLE AND RESPONSIBILITIES:
QA engineer’s responsibilities include:
1.Work with Business Analysts to get a clear understanding of requirements, understand thefunctionality of the product, create the appropriate test cases, test planand ensure that theproduct is thoroughly tested.
2.Log bugs in the appropriate system, categorize them based on severity levels, re-test the fixesreceived from developers. Work with the developers to provide more information about theissue on a need basis and assist in arrival of quick solution.
3.Approve the release when all the issues have been fixed.
4.Take feedback (especially bugs) from customers to BA and Product development teams andensure that they are properly addressed.
5.Automate and execute the test cases using appropriate tools6.Perform other related duties as assigned.
at MirrAR Innovation Technologies Private Limited
Experience: 1.5 to 3 yrs
* Hands on work experience developing in Java and J2EE
* Hands on work experience developing in JavaScript
* Extensive working experience in Springboot
* Good to have No SQL (Mongo DB) and My SQL Exposure
* Good to have experience in AWS cloud environment
* Designing, developing, troubleshooting and debugging software within a project scope ensuring that work product meets end user acceptance criteria.
* Managing self-directed assignments to resolve software defects or implement features to meet schedule commitments with a high-level of quality.
* Acquiring knowledge of industry and company standards, tools and technology with a focus on pragmatic application to business-focused software solutions through initiative and self-study
Requirements
Primary Skill Java Springboot, Java Script
Good to have Mongo Db (No Sql), My SQL and Exposure to AWS
Benefits
Salary:300000 LPA to 500000 LPA
Field Sales, Revenue 💵 - PagarBook
(Temporary Fulltime)
About Pagarbook:
1. Employee Management at your Fingertips. PagarBook - India's Best Payroll
and Attendance
2. Management tool for Small & Medium Enterprises. Using PagarBook, a
business owner can maintain all the records of their employees digitally
and can get insights around the same.
3. PagarBook is free & easy to use employee management, work & payroll
management software app where you can manage all your staff and
employee’s attendance, record the work done by your staff and employees
and their salary, payments & advances can also be recorded in this app.
4. Sms & WhatsApp notification to employees and staff about payments,
bonuses, daily work, attendance & leaves.
5. The Sales would be done for premium desktop version of the application
6. Benefits of desktop application:
a. Better and Easier accessibility, also available on mobile web
b. Access to rich reports which gives you business knowledge, spend
c. Unlimited free upgrades for a year
About Sales team:
The field sales team at PagarBook is all about solving SME’s customer problems
and ensuring we deliver compelling value propositions.
On a typical day, the sales team:
● drives the adoption of a premium version of Pagarbook, sold at a
subscription fee per annum
● never-say-no attitude, and comes with a win-all attitude
● At the same time, a core ingredient of the DNA is customer empathy
● We should always ensure the customer is well informed of all the benefits of
the solution, before we close the sales.
Responsibilities and Duties of sales associate:
● You will pitch about PagarBook desktop solution on field to customers
● You will explain the benefits of PagarBook desktop solution to customers
○ Better and Easier accessibility, also available on mobile web
○ Access to rich reports which gives you business knowledge, spend
○ Unlimited free upgrades for a year
● The users can register on the desktop for a free trial for 7 days first
● Sales associate would convert the customer into a paid customer
Mandatory requirements:
● Having your own bike is a must
● Field sales experience is a must (telecom, FMCG and financial sales
experience adds more weightage)
● Local language knowledge in the city of operations is a must
● Graduation in any field is sufficient
Benefits:
● Targets based incentives (extremely attractive)
● Petrol allowance ~upto INR 3,000 (on actual bills)
● Initial job posting would be for 3 months - based on good performance,
conversion to full time employment would be granted
Key Areas of Responsibility (KRAs):
● Onboarding of Customers
○ Meet 30 new clients a day (tracked)
○ Get free trial enabled for 20 clients a day
○ Get 3 sales (paid customers, 10% conversion) per day -
non-negotiable output
● Retaining customer accounts
○ While we build new businesses, cross-selling would be key
○ Customers should keep using PagarBook desktop beyond 30 days of
activation
● Grow customer basket size
○ Identify key SME clusters in the city and prepare an acquisition plan
○ Go aggressive and acquire
● Business acumen & key skills
○ Strong knowledge on PagarBook sales process, services and product
○ Local Market and competition knowledge and clear articulation of
PagarBook advantages
○ Strong negotiation and influencing skills to create win-win
○ Give continuous feedback to internal teams to improve our
customer service level
Finally, remember, you are the PagarBook brand ambassador on the ground! All
the best.
Requirements for field sales - Phase 1 (50):
● South:
○ Bangalore - 5 Associates
○ Coimbatore - 5 Associates
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