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Strong DevSecOps / Cloud Security profile

Mandatory (Experience 1) – Must have 8+ years total experience in DevSecOps / Cloud Security / Platform Security roles securing AWS workloads and CI/CD systems.

Mandatory (Experience 2) – Must have strong hands-on experience securing AWS services (including but not limited to) KMS, WAF, Shield, CloudTrail, AWS Config, Security Hub, Inspector, Macie and IAM governance

Mandatory (Experience 3) – Must have hands-on expertise in Identity & Access Security including RBAC, IRSA, PSP/PSS, SCPs and IAM least-privilege enforcement

Mandatory (Experience 4) – Must have hands-on experience with security automation using Terraform and Ansible for configuration hardening and compliance

Mandatory (Experience 5) – Must have strong container & Kubernetes security experience including Docker image scanning, EKS runtime controls, network policies, and registry security

Mandatory (Experience 6) – Must have strong CI/CD pipeline security expertise including SAST, DAST, SCA, Jenkins Security, artifact integrity, secrets protection, and automated remediation

Mandatory (Experience 7) – Must have experience securing data & ML platforms including databases, data centers/on-prem environments, MWAA/Airflow, and sensitive ETL/ML workflows

Mandatory (Company) - Product companies preferred; Exception for service company candidates with strong MLOps + AWS depth

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

End-to-End SAP-ERP project (BBP to module Go-live)

Experience: 5+Years

Should have done minimum 2-3 End to End Implementations and 1-2 Support Projects.

Strong Knowledge in Implementation.

Involved in workshops for requirement gathering of the client business processes.

Coordinate with the stakeholders during requirement gathering and execution phases.

Hands-on capabilities in Blueprinting, Configuration and Testing the complete process cycles.

Integration knowledge across modules, including Payroll, Projects, TRM, BPC, FM, MM, PM and SD.

Good to have an exposure in PSU processes.

Involved with technical team in providing the functional specifications and testing of client business processes.

Involved in user training workshops, documentation and handling day-to-day issues.

Should have good communication skills and be able to successfully conduct Workshops.

Should have experience of handling a team.

Client interfacing.

Sales executives are responsible for selling a company’s products or services to potential customers. They are often regarded as the face of the company and the primary point of contact for clients.

A sales executive usually performs the following tasks:

• Find new business opportunities and customers
• Contact potential customers to showcase company products or services
• Develop relationships with existing customers and keep in touch with them
• Negotiate prices and terms with customers
• Prepare sales contracts and keep track of sales activities
• Work with other team members to ensure customer satisfaction

Company Name - Sloshout

Company Location - New Delhi, Connaught Place

Company Website - www.sloshout.com

Salary Range - ₹25,000 - ₹45,000 per month + Incentives (Rs.8000 to Rs.55000 per month)

About Role:

We are looking for an ambitious and energetic Business Development Manager to help us expand our clientele. The candidate must be at the front of the company and will have the dedication to create and apply an effective sales strategy. The goal is to drive sustainable financial growth through boosting sales and forging strong relationships with clients.

Job Responsibilities:

• Convince and onboard new Venue clients every month by selling subscription packages.
• It will be a hardcore On-Field B2B Sales Job.
• Develop a growth strategy focused on financial gain.
• Self-generate leads and builds effective pipeline of prospective clients to meet monthly set targets.
• Conduct research to identify new markets and client needs.
• Promote the company’s value add subscriptions to onboarded venue clients.
• Document sales contracts and ensure adherence to law-established rules & guidelines
• Keep records of sales, revenue, invoices, etc.
• Provide trustworthy feedback and after-sales support
• Build long-term relationships with new and existing clients.
• Develop & Train entry-level staff into valuable salespeople.

Requirements:

• Male Candidate with 3-5 years of Work experience as a BDM, Sales Executive, or any relevant role
• Own Conveyance – 2 Wheeler/4 Wheeler (Fuel will be reimbursed)
• Proven sales track record
• Proficient in MS Office
• Proficient in oral and written - Hindi & English
• Market/Industry knowledge
• Ability to build rapport, Good Communication and negotiation skills
• Time management and planning skills
• Full-Time Graduate/Post Graduate

Responsible for test case specification, automation and data generation for the various products.

- Develop test automation framework components and test cases using best object oriented programming practices

- Design and implement functional, performance, scalability, stability, and stress tests- Analyze results, identify functional and performance issues and write clear and detailed bug reports

- Work in an agile, rapid development and prototyping environment where effective communication is paramount

Desired Skills and Experience :

- 2-5 years of experience in writing test automation cases

- Knowledge of manual as well as automation testing

- Experience in front-end web application test automation (e.g. Selenium Web-driver)

- Experience in industry best practices in SW development processes: Unit testing, OO design, code reviews etc.

- Experience with either functional or performance testing and analysis

- Experience testing complex REST APIs

- Strong programming and SW design skills in Scala, Java, C# or other OO language
- Ability to effectively articulate technical challenges and solutions

- Excellent communication, collaboration, reporting, analytical and problem solving skills

At BigRadar we automated consumer interactions using Chatbots. You'll be working in the backend to create services to make it happens. Obviously, we're looking for self-driven individuals who're proud of their code and do care about no more spaces.

Requirements:

• At least 3 years experience.
• Writing HTML, CSS, and JavaScript.
• Expertise in front end framework like Angular (preferred) or React.
• Expertise in back-end programming language JavaScript, TypeScript, NodeJs.
• Working with RDBMS such as Postgres or MySQL.
• Experience implementing testing platforms and unit tests.
• Proficiency with Git.
• Appreciation for clean and well-documented code.
• Understanding of microservices and distributed systems.
• Experience working with AWS infrastructure.
• Docker or Kubernetes.
• Message queues such as Kafka.
• CI/ CD tools such as Jenkins.

BigRadar is an early-stage SaaS company which delivers great customer satisfaction. Our monthly Monthly revenue rate is increasing rapidly which create great career opportunities for people working with us.

Since, our primary customer base in London, UK. We will soon launch our office there!