Customer Success Engineer (US Shift)

Job Title: Pre-Sales Consultant

Location: Jaipur, Rajasthan (Full-time, in-office with demo travel)

Employment Type: Full-Time, Permanent

Experience Required: 2–4 Years

Open Positions: 1

Probation Period: 3 Months

Role Summary

We are looking for a skilled Pre-Sales Consultant to support our growing sales pipeline by delivering impactful product demonstrations and handling technical engagements. The candidate will play a critical role in driving technical wins during the sales cycle, with deep expertise in our products docEdge and bpmEdge.

Key Responsibilities

Deliver compelling product demonstrations to C-suite executives and IT stakeholders

Build and maintain demo environments with industry-specific configurations

Respond to RFPs and technical queries within defined timelines (≤ 3 working days)

Create high-quality proposal documents and solution architectures

Conduct Proof of Concepts (POCs) for enterprise clients

Support Account Executives in handling technical objections

Develop and maintain demo scripts across industries (NBFC, Manufacturing, Healthcare)

Provide structured feedback to the Engineering team based on client interactions

Must-Have Skills

2–4 years of experience in Pre-Sales or Solution Consulting (B2B Software/SaaS)

Hands-on experience in delivering product demos independently

Strong ability to translate business problems into technical solutions

Excellent presentation and proposal-writing skills

Solid technical understanding of APIs, workflows, and cloud deployments

Good-to-Have Skills

Experience with DMS/BPM tools such as OpenText, M-Files, Pega, Appian, etc.

Domain knowledge in NBFC or Banking sector

AWS or other cloud certifications

Key Performance Indicators (KPIs)

Demo-to-SQL Conversion Rate ≥ 60%

RFP Response Time ≤ 3 Days

POC Delivery Timeline ≤ 15 Days

Development of demo scripts for at least 5 industries

Assessment Process

HR Screening

Live Demo Presentation

Technical Round

Final Round with MD

Incentives

Fixed compensation role

Additional commission applicable on closed deals in coordination with SSC/AE

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

Full Stack Developer responsible for managing back-end services and the interchange of data between the server and the users.

Your primary focus will be the development of all server side logic, definition and maintenance of the central database, and ensuring high performance and responsiveness to requests from the front-end. You will also be responsible for integrating the frontend elements built by your co-workers into the application. Therefore, a basic understanding of frontend technologies is necessary as well.

We are looking to recruit a candidate for a role that will require:

• Create and consume restful APIs
• Design, develop, and maintain internal and external applications
• Build efficient, testable, and reusable modules
• Write high quality, structured application/interface code and documentation
• Identify solutions through research and collaboration that resolves the root of problems as they arise
• Define functional and technical requirements for application software to develop skills and knowledge
• Troubleshoot, test and maintain the core product software and databases to ensure strong optimization and functionality
• Contribute in all phases of the development lifecycle

Requirement

∙ Proficient in Node.JS and ReactJS development stack

∙ 2+ years’ experience designing, querying, and updating databases in MySQL/nosql

∙ Basic understanding of web technologies including HTML, CSS, JavaScript, AJAX etc.

∙ Passion for best design and coding practices and a desire to develop new bold ideas

∙ Good to have knowledge of AWS, Redis, ElasticSearch

Role: Book Designer

Exp: 3-8 years

CTC: up to 8 LPA 

Location: Surat

Requirements :

● Strong skill set in editorial design, visual design, and information design.

● Translate complex topics visually, through design research, layouts, and other design aspects.

● Proficiency in Adobe InDesign is a must ( Adobe Illustrator, and Adobe Photoshop is a plus).

● Experience of a minimum of 3 years as a Graphic Designer working on editorial projects, print media projects, or as a Print Production Artist.

● Candidates must have a Bachelor of Design degree in Graphic Design, Print Design, Communication Design or any other related branches.

● Possess a creative flair, originality, good visual aesthetic sense, and research skills.

Job Summary:

We are looking for a motivated and detail-oriented Data Engineer with 1–2 years of experience to join our data engineering team. The ideal candidate should have solid foundational skills in SQL and Python, along with exposure to building or maintaining data pipelines. You’ll play a key role in helping to ingest, process, and transform data to support various business and analytical needs.

Key Responsibilities:

• Assist in the design, development, and maintenance of scalable and efficient data pipelines.
• Write clean, maintainable, and performance-optimized SQL queries.
• Develop data transformation scripts and automation using Python.
• Support data ingestion processes from various internal and external sources.
• Monitor data pipeline performance and help troubleshoot issues.
• Collaborate with data analysts, data scientists, and other engineers to ensure data quality and consistency.
• Work with cloud-based data solutions and tools (e.g., AWS, Azure, GCP – as applicable).
• Document technical processes and pipeline architecture.

Core Skills Required:

• Proficiency in SQL (data querying, joins, aggregations, performance tuning).
• Experience with Python, especially in the context of data manipulation (e.g., pandas, NumPy).
• Exposure to ETL/ELT pipelines and data workflow orchestration tools (e.g., Airflow, Prefect, Luigi – preferred).
• Understanding of relational databases and data warehouse concepts.
• Familiarity with version control systems like Git.

Preferred Qualifications:

• Experience with cloud data services (AWS S3, Redshift, Azure Data Lake, etc.)
• Familiarity with data modeling and data integration concepts.
• Basic knowledge of CI/CD practices for data pipelines.
• Bachelor’s degree in Computer Science, Engineering, or related field.

Data Scientist-

We are looking for an experienced Data Scientists to join our engineering team and

help us enhance our mobile application with data. In this role, we're looking for

people who are passionate about developing ML/AI in various domains that solves

enterprise problems. We are keen on hiring someone who loves working in fast paced start-up environment and looking to solve some challenging engineering

problems.

As one of the earliest members in engineering, you will have the flexibility to design

the models and architecture from ground up. As any early-stage start-up, we expect

you to be comfortable wearing various hats, and be proactive contributor in building

something truly remarkable.

Responsibilities

Researches, develops and maintains machine learning and statistical models for

business requirements

Work across the spectrum of statistical modelling including supervised,

unsupervised, & deep learning techniques to apply the right level of solution to

the right problem Coordinate with different functional teams to monitor outcomes and refine/

improve the machine learning models Implements models to uncover patterns and predictions creating business value and innovation

Identify unexplored data opportunities for the business to unlock and maximize

the potential of digital data within the organization

Develop NLP concepts and algorithms to classify and summarize structured/unstructured text data

Qualifications

3+ years of experience solving complex business problems using machine

learning.

Fluency in programming languages such as Python, NLP and Bert, is a must

Strong analytical and critical thinking skills

Experience in building production quality models using state-of-the-art technologies 

Familiarity with databases like MySQL, Oracle, SQL Server, NoSQL, etc. is

desirable Ability to collaborate on projects and work independently when required.

Previous experience in Fintech/payments domain is a bonus

You should have Bachelor’s or Master’s degree in Computer Science, Statistics

or Mathematics or another quantitative field from a top tier Institute

Responsibilities:

.Create exclusive distributors, exclusive super stockists and business associates for the company towards business growth.

.Guide, coordinate and make strategic marketing plans for the sales team working under his jurisdiction.

.Finding and developing new markets and improving sales.

.Keep abreast with stock reports, inventory, product orders, re-order etc.

skills.

Requirements:

.Bachelor's degree in business, marketing or a related field.

.Experience in sales, marketing or related field.

.Strong communication skills.

.Excellent organizational skills.

.Proficient in Word, Excel, Outlook, and Powerpoint.

We are looking for an experienced Digital Marketing Executive to assist in the planning, execution and optimization of our online marketing efforts. The promotion of products and services through digital channels is a complex procedure with great potential which becomes increasingly useful for companies such as ours.

The ideal candidate will have a passion for all things marketing and technology. You will be well-versed in the concepts surrounding digital marketing and how the Internet can become a strong asset to securing growing revenue. You will be tech-savvy and intuitive with great ideas to reinforce our marketing campaign.

Digital Marketing Executive

• Assist in the formulation of strategies to build a lasting digital connection with consumers
• Plan and monitor the ongoing company presence on social media (Twitter, Facebook etc.)
• Launch optimized online adverts through Google AdWords, Facebook etc. to increase company and brand awareness
• Be actively involved in SEO efforts (keyword, image optimization etc.)
• Prepare online newsletters and promotional emails and organize their distribution through various channels
• Provide creative ideas for content marketing and update website
• Collaborate with designers to improve user experience
• Measure performance of digital marketing efforts using a variety of Web analytics tools (Google Analytics, Web Trends etc.)
• Acquire insight in online marketing trends and keep strategies up-to-date
• Maintain partnerships with media agencies and vendors

Requirement and Skills

• Proven experience as Digital Marketing Executive or similar role
• Excellent understanding of digital marketing concepts and best practices
• Experience with B2C social media, Google AdWords and email campaigns and SEO/SEM
• Working knowledge of ad serving tools (e.g., DART, Atlas)
• Perfect knowledge of web analytics tools (e.g. Google Analytics, Net Insight, Web Trends etc.)
• Skills and experience in creative content writing
• Analytical mindset and critical thinking
• Excellent communication and interpersonal skills
• BSc/BA in marketing or relevant field