Cyber Security Engineer

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

Talent Acquisition Role Responsibilities are given below:

Building Talent Pool

• Determining the current staffing needs of an organization

• Lead the sourcing strategy to identify the potential talent

• Identify and manage the external sourcing partners

• Responsible of hiring Top management hiring

• Identify the process gaps and reengineer the process as and when required

• Devising the technical assessment for selection procedure for various roles

• Creating a salary benchmarks and manage consistency for all the roles/locations

• Should make sure that the salary proposal are well within the defined budgets

• Creating a pool of blacklisted companies and employees whom the organization

• should refrain from hiring and vice versa

• Collaborating with the Department Heads and Divisional heads to identify the

• Challenges and resolutions

• Expertise in head hunting of candidates

• Should plan for reduction of drop out % rate

• Responsible for incorporating best industry practices for recruitment

• Ensure the reduction in early attrition

• Create a potential pipeline for future hiring

Sourcing Strategy

• Identify the right source of recruitment mix for the company

• Proactively connecting with prospective institute and organization for hiring such as

• Campus Recruitment, Job Portal, Ads, Contract Hiring, Offline Hiring, Consultancy

• Promoting the Kinara Brand amongst all stakeholders

Vendor Management

• Right consultant for right role

• Identifying the right vendor for every specialized roles and skills

HO & Field Hiring

• Recruitment & Onboarding for all the levels

BGV

• Neatly we do the BGV, strongly, oral or through IDFY

Pipeline Creation

• Creating the talent pool as a backup

• Strategy to reduce the early attrition

• Strategies to screen the right profiles, less rejection

Budgeting

• Ensure budget and cost optimization of the organization

HRMS

• How effectively the usage of HRMS in place by reducing the manual efforts

Other Requirements:

• Similar Industry market knowledge

• Team handling experience

• Have worked in the strategical capacity

Skills and Competencies:

Technical Skills

• Data Analysis and Reporting

• Have prior experience in handling HRMS tool

• Stakeholders Management

• Excellent in Analytics

Soft Skills

• Resourcefulness

• People Management

• Communication

• Time management

• Team management

Description: 

 4+ Years of experience in systems development and Guidewire Billing experience. 

 4+ years of technical experience in enterprise-level application design, execution, and software deployments. 

 Hands-on development expertise on Guidewire BillingCenter with configuration. 

 Configure business rules and other business logic in Gosu. 

 Design and code integration components including plug-ins and programs that call the GW APIs Create form and letter templates and their supporting XML descriptor files. 

 Skilled in the use of applicable programming languages for the areas of developing code for, to include but are not limited to Java, SQL etc. 

 Experience leveraging source code management, such as GitHub or Bitbucket. 

 Supports production deployments and automation, actively lead monitoring, job control, and production support, and participates in and provides support for production issues related to the Guidewire solution. 

 Expertise configuring and developing several areas of BillingCenter including but not limited to Account/Policy/Producer Handling, Various Plan Types, Billing Instructions, Charges, Charge Patterns, Charge Invoicing, Invoice Items, Direct/List/Agency Bill Processing, Premium Reporting, Holds and writeoffs, Handling of Trouble Tickets/ Collaterals and Return Premium, Funds Tracking and Contacts. 

 Well versed with all Guidewire Billing center configuration areas like PCF, Gosu, Business Rules, Invoicing, Billing Types, Charge Distributions, Payments, Delinquency process, Commissions, etc. 

 Robust understanding of BillingCenter DataModel 

Education: 

 BE/B.Tech, BCA, B.SE, MCA, MBA / Any Graduate/Any Post Graduate

• Designing and developing user interfaces using angular.Js best practices.
• Adapting interface for modern internet applications using the latest front-end technologies.
• Writing JavaScript, CSS, and HTML.
• Developing product analysis tasks.
• Making complex technical and design decisions for AngularJS projects.
• Developing application codes and unit tests in AngularJS, Java Technologies, and Rest Web Services.
• Conducting performance tests.
• Consulting with the design team.
• Ensuring high performance of applications and providing support.

>> Qualification

• Bachelor’s degree in computer science, computer engineering or similar.
• Previous work experience as an angular JS developer.
• Proficient in CSS, HTML, and writing cross-browser compatible code.
• Experience using JavaScript building tools like Gulp or Grunt.
• Knowledge of JavaScript MV-VM/MVC frameworks including Angular JS.
• Excellent project management skills.
• Proven experience implementing front-end and back-end JavaScript applications.
• Excellent communication skills.
• Critical thinker and good problem-solver.

POSITION: SAP IN OIL & GAS

CSA - U2VCYT  & U2VCYV 

Relevant years of Experience: 6- 8 years of experience in IS Oil

NP- IMMEDIATE JOINER

WORK FROM OFFICE / REMOTE

LOCATION: PAN INDIA

Mandatory Skills for screening:-Good in configuration/ blueprinting/ understanding the process flow in SAP IS OIL & GAS downstream scenario mapping.

Good to have (Not Mandatory): ABAP debugging

Detailed Job Description: The candidate should have 6 to 8 yrs of SAP IS Oil experience and worked on at least two implementation projects. Should be very conversant with Oil downstream processes. Capable of taking part in blueprinting workshops with clients and ready to work hands-on in Configuration, Integration testing, UAT etc. Should also know the SAP Logistics area.

Should be highly Technical and hands-on experience in Artificial Intelligence and Machine learning and Python. Managing the successful delivery of projects by efficient planning and coordination.

KEY RESPONSIBILITIES OF THE POSITION :

• Create Technical Design for AI, Machine Learning, Deep Learning, NLP, NLU, NLG projects and implement the same in production.
• Solid understanding and experience of deep learning architectures and algorithms
• Working experience with AWS, most importantly AWS SageMaker, Aurora or MongoDB, Analytics and reporting.
• Experience solving problems in the industry using deep learning methods such as recurrent neural networks (RNN, LSTM), convolutional neural nets, auto-encoders, etc.
• Should have experience of 2-3 production implementations of machine learning projects.
• Knowledge of open-source libraries such as Keras, Tensor Flow, Pytorch
• Work with business analysts/consultants and other necessary teams to create a strong solution
• Should have in-depth understanding and experience of Data Science and Machine Learning projects using Python, R, etc. Skills in Java/C are a plus
• Should developing solutions using python in AI/ML projects
• Should be able to train and build a team of technical developers
• Desired to have experience as leads in designing and developing applications/tools using Microsoft technologies - ASP.Net, C#, HTML5, MVC
• Desired to have knowledge on any of the cloud solutions such as Azure or AWS
• Desired to have knowledge on any of container technology such as Docker
• Should be able to build strong relationships with project stakeholders

Keywords:

• Python
• Artificial Intelligence
• Machine Learning
• AWS
• Django
• NLP

We are looking for an Affiliate Marketing Manager who is going to manage the company’s affiliate program through all phases, including brainstorming, launch, maintaining, trafficking, marketing, reporting, optimization, and analysis.

He/she is responsible for identifying, evaluating, and recruiting new affiliates to increase program distribution and interfacing with internal marketing and other teams to develop and implement marketing strategies and support affiliate programs.

You’ll be launching, managing, and growing a world-class, global affiliate program that moves the needle for overall business growth and closely ties into the overall marketing strategy.

You will work with the wider digital marketing team and multiple stakeholders across the business to ensure consistent and effective affiliate strategies are developed, agreed and implemented across markets.

As the Affiliate Manager you will:

• Own, develop, and deliver an affiliate sales strategy to drive revenue growth and meet business targets
• Maintaining and developing affiliate marketing programs, recruiting new affiliate partners
• Reviewing affiliate contracts, nurturing relationships with external vendors, affiliates, and partners
• Monitoring affiliate practices; negotiating and evaluating affiliate advertising agreements; maintaining relationships with affiliates and partners
• Performing marketing research on potential affiliate partners
• Monitoring affiliates and enforcing company procedures around affiliate programs
• Regularly monitoring campaign performance
• Compiling and submitting campaign performance reports
• Providing monthly invoices to affiliate partners
• Handling the buying, renegotiation of rates, renewing or canceling media placements and other advertising programs
• Plan and execute the seasonal and general campaign, overall partner outreach, market positioning, and branding across all affiliates
• Manage the relationships with key affiliates, maximizing their promotion
• Manage the affiliate marketing platform (Partner Stack), ensuring adherence to performance and service level KPI's and ensuring full exploitation of platform tools and functionalities
• Provide in-depth reporting, analysis, and insight to relevant stakeholders, highlighting the story behind the actual and forecasted performance
• Creating campaign reports that show progress and return on investment

Required Qualifications:

• At least, 7 years of experience working with affiliate management platforms and networks. Experience with Partner Stack a plus
• Considerable affiliate marketing experience, ideally gained from a high-growth, online or multi-channel business in the American region and a track record of achieving results (meeting lead-gen, CPA, Revenue targets, Conversion KPIs, etc.)
• A strong digital marketing expert with experience developing and managing campaigns in at least one channel discipline (SEM, email, social, content marketing, etc.)
• Able to demonstrate strong analytics skills and experience with digital marketing analytics tools e.g., Google analytics, etc.
• Education – BA in Business, Marketing, Communications or related degree is a must, MBA or equivalent preferred
• Should have previous experience purchasing and negotiating pricing for various media, including email, banner, and Web pop-up advertisements
• Experience with affiliate marketing networks and search engine marketing is a must
• Knowledge in ad-serving technologies, experience in campaign management
• Experience in dealing with and presenting to multiple stakeholders effectively
• Organized with an ability to multi-task, prioritize and work to tight deadlines
• Excellent numeracy and analytical skills with the ability to process large amounts of data and information into concise recommendations and action for the affiliate campaigns

• Customize, develop and support solutions on salesforce.com platform.
• Develop, test, document and deploy high quality solutions for our clients.
• Working closely with clients and the development team to determine the project requirements.
• Document unit test scripts and record test results post completion of development.
• Review self and peer's code/configuration as part of review process.

Hard Skills

• Strong understanding of the SDLC
• (Agile and Waterfall approaches and tools)
• Advanced Salesforce customization/coding (Apex & Visualforce development)
• Salesforce data loading & using data loader/Data stage/related tools.
• Lightning component experience preferred.
• Knowledge in Java/.Net Programming & OOPs concepts is an added advantage.
• Basic source control knowledge Git/SVN
• Proficient in building integrated solution involving web services using both REST and SOAP
• Strong in RDBMS concepts, SQL and SOQL query languages and ER concepts
• Experience of developing using Eclipse/Mavens Mate IDE
• Hands on experience in migrating code/configuration to production is an added advantage.

Good to have

• Certifications on Salesforce Admin, App Builder, Platform Developer 1 is a must
• Comfortable & familiar with MS office tools
• Analytical & problem-solving skills
• Clear communication and articulation ability
• Team player

Soft Skills

• Effective written and oral communication
• Inspire and motivate the team to perform at their best.
• Professional maturity to give and receive feedback.
• Supports team members in meeting their commitments.
• Good presentation skills to run governance and steering committee meetings.
• Excellent listening skills with sharp acumen to replay or summarize conversations especially when a client is involved.
• Ability to cross/up sell when there is an opportunity.
• Understand client business and add value to requirement conversation.