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We are looking for a professional Instructional Designer to act as a bridge between the customer and the development team to translate information between them and drive intelligence into the content development process by taking a solutioning approach. The ID would not only be a part of the course design process but also be involved in storyboarding. The objective is to facilitate end learners in acquiring knowledge, skills and competencies in an effective and appealing manner.

• Content analysis and identify target audience’s training needs
• Work closely with SMEs/Customers to understand concepts
• Apply Instructional design theories, practice and methods
• Analyse and research strategies where necessary
• Develop creative scripts for videos and engaging storyboards for e-learning modules (Courses, Videos, Simulations, Gamified courses, Scenarios, etc), ILTs
• Design interactive learning objects, develop assessments and exercises
• Provide visual guidance and suitable references to developers where necessary
• Ensure that the outputs are developed in accordance with the Storyboards
• Project documentation and vendor coordination
• Brief travel to customer locations as necessary

• Proven working experience in instructional design and storyboarding
• Excellent knowledge of learning theories and instructional design models
• Lesson and curriculum planning skills
• Advanced User of Microsoft Office – Word, PowerPoint, Excel – for storyboarding
• Understanding on the working of HTML5, Articulate, Flash, Adobe Suite and any LMS
• Very good communication skills

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

·                    Design, develop, and implement AI/ML models and algorithms.

·                    Focus on building Proof of Concept (POC) applications to demonstrate the feasibility and value of AI solutions.

·                    Write clean, efficient, and well-documented code.

·                    Collaborate with data engineers to ensure data quality and availability for model training and evaluation.

·                    Work closely with senior team members to understand project requirements and contribute to technical solutions.

·                    Troubleshoot and debug AI/ML models and applications.

·                    Stay up-to-date with the latest advancements in AI/ML.

·                    Utilize machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) to develop and deploy models.

·                    Develop and deploy AI solutions on Google Cloud Platform (GCP).

·                    Implement data preprocessing and feature engineering techniques using libraries like Pandas and NumPy.

·                    Utilize Vertex AI for model training, deployment, and management.

·                    Integrate and leverage Google Gemini for specific AI functionalities.

Qualifications:

·                    Bachelor’s degree in computer science, Artificial Intelligence, or a related field.

·                    3+ years of experience in developing and implementing AI/ML models.

·                    Strong programming skills in Python.

·                    Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.

·                    Good understanding of machine learning concepts and techniques.

·                    Ability to work independently and as part of a team.

·                    Strong problem-solving skills.

·                    Good communication skills.

·                    Experience with Google Cloud Platform (GCP) is preferred.

·                    Familiarity with Vertex AI is a plus.

Required Technical Skills

 Experience required: 5-8 yrs.  Minimum 5 years of ServiceNow Design and Development experience apart from

support/admin.  Good to have any #ServiceNow Implementation Specialist Certification or Application

Developer Certification.  #ITSM/ #ITBM/ #ITOM/ #SecurityOps/ #grc development experience (Good to have).  Hand on experience in Integration of third-party API's - Primary skills: ServiceNow

#ITSM/GRC Dev engineer.  Must be CSA certified and great plus if certified as Implementation specialist.  Hands On Experience in #Integration of #API's. Preferred

 Minimum years of experience: 3 years in ServiceNow development

Certification is mandatory - #CAD Custom Application Development

5+ years of experience in Content Management Systems in general, with at least 3+ yrs. of specific Sitecore experience required. Sitecore 8.X+ experience is ideal.

· Bachelor's in computer science, software engineering or similar

· Hands-on Sitecore development experience.

· The .NET Framework including Visual Studio, C#, and ASP.NET MVC with an understanding of the basics of front end technologies.

· Client-side browser technologies including JavaScript, CSS, and HTML, Responsive Web Design, JQuery and other front end development tools. Experience with Agile methodologies

· Experience with REST, Web Services, Web application frameworks

· Experience with build automation tools

· Experience in TDD and software testing frameworks

· Knowledge of IDEs and source control management (ideally TFS, GIT, SVN or similar)

· Strong adherence to a consistent delivery methodology and associated deliverable generation

Job Description :

We are looking for a Front-End Web Developer who is motivated to combine the art of design with the art of programming. Responsibilities will include translation of the UI/UX design wireframes to actual code that will produce visual elements of the application. You will work with the UI/UX designer and bridge the gap between graphical design and technical implementation, taking an active role on both sides and defining how the application looks as well as how it works.

Responsibilities :

- Develop new user-facing features

- Build reusable code and libraries for future use

- Ensure the technical feasibility of UI/UX designs

- Optimize application for maximum speed and scalability

- Assure that all user input is validated before submitting to back-end

- Collaborate with other team members and stakeholders

Skills :

* Proficient understanding of web markup, including HTML5, CSS3.

* Basic understanding of server-side CSS pre-processing platforms, such as LESS and SASS.

* Proficient understanding of client-side scripting and JavaScript frameworks, including jQuery.

* Good understanding of asynchronous request handling, partial page updates, and AJAX.

* Basic knowledge of image authoring tools, to be able to crop, resize, or perform small adjustments on an image.

* Familiarity with tools such as Gimp or Photoshop is a plus.

* Proficient understanding of cross-browser compatibility issues and ways to work around them.

* Proficient understanding of code versioning tools, such as Git / Bitbucket.

* Good understanding of SEO principles and ensuring that application will adhere to them.

• Must have experience in field sales
• Bike mandatory 
• Immediate joiners
• External distribution
• Daily monitoring of leads update leads 

 2+ years of .NET Development experience

- Exceptional skills Experience with .NET,  technologies (WPF, Web Forms, .NET Core). Also skilled in MS SQL and PostgreSQL, Bootstrap and DevOps.

- Experience with DevExpress, Elasticsearch.Net, VS Studio is preferred SolarSearch

- Great business process understanding and written and verbal communication skills

- GitHub and Git experience.