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LinkedIn- https://www.linkedin.com/in/sakshi-kulkarni-292932229/">Sakshi Kulkarni | LinkedIn

Website: http://www.bohiyaanam.com/">http://www.bohiyaanam.com/
Bohiyaanam Talent Solutions

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

Position: Java Automation Engineer

Location: Chennai/Bangalore/Hyderabad/Pune

Type: Hybrid (3 days office and 2 days home)

Mode of Hire: Fulltime

Notice: Immediate to 15 Days

Job Description:

Must Have:

• 7+ years of experience in Automation Testing
• 5+ years' experience in Selenium, Cucumber, TestNG
• 3+ years hands-on in Core Java
• 3+ years' API Automation Testing
• 3+ years' experience writing complex SQL queries.
• Extensive experience in testing Webservices both SOAP and REST
• Individual should be open to learn new technology as needed and should work independently.

Good to Have:

• Experience working with Unix systems.
• Good understanding of Agile process & Jira tool
• Good working understanding of Kubernetes/Docker
• Telecom/Cable Domain background and testing experience on IVR would be beneficial.
• Katalon platform experience
• Telecom domain, Telecom networks

About Company:

Our client is in the business of delivering cutting-edge software solutions, hardware systems, and IT services. It lends the right technological edge to governments and businesses. This enables them to achieve their organizational objectives efficiently and effectively to scale their businesses to newer heights.

Minimum Requirements/Qualifications:

(i) Minimum education qualification of MCA/ MSc (Computer Science)/BE/BTech (computers/ IT).

(ii) Must have at least 2.5 to 5 years of experience in application development, deployment, and testing. He/ She must possess a valid MySQL Developer or Java Developer certification, which is obtained at least six (06) months prior to the date of award of the contract to the firm.

(iii) Knowledge of Software Management Life Cycle and Software Testing viz unit testing, system testing & Integration Testing, etc.

(iv) Knowledge & hands-on experience of PHP & My SQL is a must. Additional knowledge of Post GreSQL, Typescript & Lit element, Java with Hibernate and Springs, SQL Server, Apache Tom Cat Server & relevant open-source technologies is required.

(v) Individuals must have hands-on experience in server operating systems viz Windows Server OS and RHEL. Knowledge of security concepts of web applications & Networking for undertaking necessary troubleshooting wrt applications accessibility.

(vi) Knowledge of Mobile Application Development

Key Responsibility Areas:

1. Creation of new Course No, Term, and Term type at the beginning of each term. All associated Database tables and software procedures and functions are updated and recompiled.
2. Management of Data Entry and Information access right to various users.
3. AMC includes bug fixing, updating of application for any small policy changes.
4. Regular Patch/update installation and coordinating with MIS team for identification and resolution of issues wrt application functioning and deployment
5. Implementation of Cyber security policies and hardening of application
6. Development of New functionalities in the application
7. Regular Testing of running application functionalities and undertaking unit and integration testing of newly developed components.
8. Support for making changes in the NDA internet web portal.
9. AMC includes backing up of software, and database and storing it in other locations every week
10. Online Multimedia Management System
11. Software Wise Charter of Duties
12. Cadet Suggestion/ Complaint Management System

Wednesday is a digital agency. We work with startups and enterprises to build digital products for their users.

At our core, we are a group of makers - designers, developers, product & project managers. We care about our work and think of it as a craft. We're always learning so we can build better and faster.

As a Technical Lead, your time will be divided between programming and technical oversight.

Core Responsibilities

• Code Reviews: Review all pull requests to ensure features are built correctly following the conventions and guidelines of the project.
• Communication: Work with your team to ensure they understand all the requirements clearly.
• Architecture: Have a clear picture of the system architecture in mind. Lead your teams to implement that design.
• Learn: Learn from the practices followed by other teams and evangelize your learnings.

Skills Required

• Technical expertise with our tech stack - JS, Nodejs, React, and AWS.
• Understanding of Agile processes and methodologies.
• Understanding of the continuous software delivery process using CD.
• The ability to debug corner cases, hypothesize and fix bugs.