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• Demonstrate, present and promote services to salons, spas & gyms (Beauty & Wellness Industry)
• Should have excellent verbal & presentation skills
• Knowlege of local language is a must
• Should be inovative and target driven
• Willing to travel
• Demonstrate honesty & integrity

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

Test Automation & Framework Development

• Design, develop, and maintain scalable web UI automation frameworks using Playwright (TypeScript / Python / JavaScript) following Page Object Model (POM) architecture
• Implement parallel execution, retry strategies, flaky test analysis, and test isolation for reliable, stable test runs
• Create and manage shared utilities — logging, test data handling, Microsoft Teams/Slack integrations, and HTML/Allure reporting
• Define coding standards, perform code reviews, and onboard team members to the automation framework

CI/CD & Pipeline Integration

• Configure and maintain GitHub Actions workflows for automated test execution — integrate with CI pipelines for reporting, failure screenshots, and alerting
• Set up Git-event-driven test triggers and post structured test result summaries to collaboration channels
• Work with shell scripting and Docker basics to support pipeline reliability and scalability

AI Agent Development & Integration

• Contribute to AI-native test automation pipelines leveraging LLM APIs (Claude API / OpenAI) — including intelligent test selection, auto test generation via Playwright Codegen, and automated defect reporting
• Build or support autonomous agent workflows with multi-step reasoning, tool use, and integration with external APIs (GitHub, Jira, REST APIs)
• Develop and refine prompt engineering strategies to build reliable, deterministic agent behavior
• Deploy and monitor AI agents via FastAPI or serverless functions; handle edge cases and output validation

Quality & Reporting

• Perform functional, regression, smoke, and end-to-end test coverage for web platforms
• Manage test data setup and teardown; generate Allure reports and share structured summaries with stakeholders
• Analyze test failures, identify root causes, and drive continuous improvement of test coverage and quality processes

Automation & Testing

• Strong proficiency in Playwright (TypeScript / Python / JavaScript) for web UI automation
• Solid understanding of Page Object Model (POM) and scalable framework design principles — must have designed frameworks, not just written scripts
• Familiarity with BDD frameworks such as Cucumber
• Experience with test runners: pytest or Playwright Test Runner
• Hands-on experience with Selenium WebDriver is a plus

Languages & Tools

• Proficient in TypeScript and/or Python; familiarity with JavaScript is a plus
• Experience with GitHub Actions and CI/CD pipeline configuration hands-on YAML writing required
• Working knowledge of Shell / Bash scripting
• Familiarity with REST API testing and integrations with tools like GitHub and Jira

AI & LLM Exposure

• Working knowledge of LLM APIs (Claude API / OpenAI) for building AI-powered automation or agent workflows
• Hands-on experience with prompt engineering for reliable, structured agent outputs
• Exposure to MCP (Model Context Protocol) or agent skill-based design patterns
• Familiarity with FastAPI for deploying lightweight agent services

Soft Skills

• Strong debugging, analytical, and problem-solving skills — must be able to diagnose failures live
• Ability to independently own modules and drive projects with minimal supervision
• Good communication skills; ability to write structured summaries and documentation for both technical and non-technical stakeholders

Role: .NET Developer with React.js

3+ years in .NET/C# development (ASP.NET, Web API, MVC or Core)

Expertise in React.js (Redux, Hooks, component design)

Design engineer - Eplan

(2 to 3 years

Eplan certification

Diploma / BE - electrical / instrumentation)

• Initiate outbound calls to potential customers to introduce and promote products/services.
• Conduct follow-up calls to nurture leads.
• Build rapport with potential customers. 
• Identify potential leads through effective questioning and conversation.
• Meet and exceed daily, weekly, and monthly sales targets.
• Efficiently manage call time to maximize productivity and achieve sales goals.
• Follow predefined scripts while adapting to customer responses to maintain consistency.

.

🔧 Key Responsibilities:

• Design and develop customized Salesforce solutions using Apex, Visualforce, and Lightning Web Components (LWC)
• Manage and implement Salesforce APIs and third-party integrations
• Work with Salesforce Data Cloud (CDP) to unify and manage enterprise data
• Collaborate with cross-functional teams to deliver scalable, secure, and high-performing Salesforce solutions
• Adhere to best practices in data security, performance, and system architecture
• Participate actively in Agile/Scrum processes and contribute to sprint planning and delivery
• Conduct thorough code reviews, unit testing, and maintain clear technical documentation

✅ Required Skills & Qualifications:

• 4+ years of hands-on Salesforce development experience
• Proficiency in Apex, LWC, Visualforce, and Salesforce APIs
• Experience with third-party integrations and middleware platforms
• Familiarity with Salesforce Data Cloud or similar data management platforms
• Strong grasp of Salesforce configuration, data modeling, flows, and triggers
• Knowledge of Git, DevOps, and CI/CD pipelines
• Excellent problem-solving and communication skills

🌟 Preferred:

• Salesforce Platform Developer I/II certification(s)
• Experience working in large-scale enterprise environments
• Familiarity with DevOps tools and CI/CD best practices

Position: Call Quality Analyst

Key Responsibilities:

1. Conduct call audits: Listen to recorded or live customer service calls to evaluate the quality of interactions, ensuring adherence to company standards.

2. Quality assessment and control: Evaluate call agents' performance based on established metrics, including communication skills, product knowledge, adherence to scripts, and compliance with company policies.

3. Provide feedback: Deliver constructive and actionable feedback to call agents based on audit results to help them improve their performance and enhance customer satisfaction.

4. Reporting: Prepare detailed reports summarizing audit findings, trends, and areas for improvement. Provide regular reports to the management team.

5. Process improvement: Work with cross-functional teams to identify process improvements that can enhance the overall quality of customer interactions.

6. Compliance: Ensure that all customer service activities comply with legal and regulatory requirements.

7. Customer feedback: Incorporate customer feedback into quality assessment processes

Qualifications:

• Bachelor's degree in a relevant field or equivalent work experience.

• Proven experience in quality analysis and call auditing, preferably in a customer service environment.

• Excellent communication skills, both written and verbal.

• Knowledge of relevant industry regulations and compliance standards.

• Proficiency with Microsoft Office suite (Word, Excel, PowerPoint).

call QA for Pune

language- gujarati, tamil, telugu,malayalam, Punjabi, kannada (any)

Experience- 6months- 2yrs (BPO Voice also considerable)

Salary- 25k ctc location: Vimaan Nagar

call QA for Banglore/Jaipur

language- Hindi andEnglish (both)

Experience- 6months- 2yrs (BPO Voice also considerable)

Salary- 22k ctc LOCATION: HSR layout

Brief on Amplior:-

• We are a Global B2B Tech-driven start-up lead generation company, with an awesome team, generating significant value
• We do things a bit differently... There is no corporate nonsense, and no old-fashioned hierarchy. Instead, we work in self-sufficient, autonomous teams
• Mostly, you’re your own boss, you also get plenty of guidance and support from super talented, smart colleagues, always pushing the boundaries of innovation
• We believe that people from different backgrounds, identities, and experiences, make our product and the company better. 

• Our Client Partners have Great comm skills and confidence
• Experience is welcome but not a necessity, Interns welcome
• Apply if you want to make a great career in marketing, sales, especially B2B (Business to business)
• You need to be Eager to learn more, ready to do quality conversations with Senior Executives in the biggest of the companies PAN India and Globally
• Love to research and find out about potential business prospects for our clients