11+ Sales engineering Jobs in Delhi, NCR and Gurgaon | Sales engineering Job openings in Delhi, NCR and Gurgaon

Roles & responsibilities

• Learn & understand our products/services, and our current/ prospective clients well.
• Understand client pain points, requirements and correlate our solutions and client requirements.
• Source new sales opportunities through outbound reach, cold emails, chats or phone calls, or anything to reach out to prospective customers.
• Respond, engage and qualify inbound leads and inquiries.
• Engage current users to expand awareness, educate, ask for referrals, identify new opportunities.
• Execute planned sales activities and develop a target list of high potential new customers.
• Resolve client complaints regarding sales and services.
• Achieve monthly & quarterly targets.
• Perform effective online demos to prospects.
• Effectively communicate and collaborate with the internal engineering team to provide the best product/ solution to the client.

Desired Candidate Profile: -

• Candidates should have 0- 2 years of sales experience, (solution sales approach) preferably in a high-tech environment and/ or Internet technology environment.
• Consistent track record of success in closing business, and creating and managing a pipeline of opportunities.
• Highly motivated and professional with excellent communication skills.
• Highly confident and goal-oriented.
• Ability to communicate with senior-level management
• Good leadership and team working skills.
• Must possess the highest level of ethics and integrity.

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

V Patrol is hiring for the role of Management Trainee!

About the Role:

• The Management Trainee program is a fast-track career development initiative designed to groom future leaders.
• This program equips trainees with a comprehensive understanding of the organization’s operations, strategies, and leadership principles.
• Trainees will undergo structured training and rotational assignments, gaining hands-on experience in various departments.

Responsibilities of the Candidate:

• Training and Development:
• Attend and actively participate in workshops, seminars, and training programs.
• Acquire knowledge of business operations, company policies, and industry trends.
• Departmental Rotations:
• Work across various departments to understand their roles, workflows, and contributions.
• Collaborate with teams on projects to gain practical experience.
• Leadership Exposure:
• Shadow managers and team leaders to observe decision-making and leadership strategies.
• Participate in meetings and contribute to discussions on strategic initiatives.
• Project Management:
• Take ownership of assigned projects and deliver results within set timelines.
• Analyze performance metrics, identify gaps, and propose actionable solutions.
• Performance Analysis:
• Monitor and report on the progress of assigned tasks and projects.
• Provide insights and recommendations to improve efficiency and productivity.
• Problem-Solving and Innovation:
• Identify challenges within workflows and propose innovative solutions.
• Support teams in the implementation of process improvements.
• Progress Monitoring and Evaluation:
• Set personal and professional development goals and track progress.
• Receive regular feedback from mentors and supervisors to enhance performance.

Qualifications and Skills:

• Education:
• Bachelor’s degree in [relevant field, e.g., Business Administration, Management, Finance, etc.].
• MBA or relevant postgraduate qualification is a plus.
• Experience:
• Fresh graduates or professionals with up to 2 years of experience.
• Skills and Competencies:
• Strong leadership potential and decision-making skills.
• Excellent communication and interpersonal abilities.
• Analytical mindset with problem-solving aptitude.
• Adaptability and resilience in a dynamic work environment

Engineering Manager – Backend

Opportunity in this role / Why should you join us?

Series D funded supply chain startup.

Requirements

• Software engineering experience of greater than or equal to 7 years
• Experience managing a technical team of at least 3 people
• Exposure to consumer facing products
• Strong technical background and ability to contribute to design and review
• Familiarity with our tech stack or an analogous tech stack

Technologies Used

• Web application frameworks : Ktor, Spring Boot, Ruby on Rails, Node.js, Java Play, AWS Lambda
• Languages : Kotlin, Java, Ruby, Javascript, Python
• Datastores : PostgreSQL, Aerospike, Redis, DynamoDB, Amazon Redshift
• Communication : HTTP, Amazon SQS, Sidekiq, Amazon SNS
• Server management : Amazon ECS, Docker
• Design frameworks : Domain Driven Design, Clean Architecture, Layered Architecture

Roles and Responsibilities

This role requires a person to drive the engineering of a set of products by aligning with business and product

stakeholders and building and upskilling a team to aid in this. The responsibilities include:

Business and product alignment and planning

• Work closely with business and product stakeholders to understand and align with product initiatives and iterations.
• Help shape the engineering requirement by aligning with the product manager and fleshing out concepts and user flows.
• Formalize business requirements into roadmaps and sprints.

1. Product and system development

• Drive high level modeling and design for projects, also focusing on non-functional aspects, including but not limited to database design, communication protocols, deployment systems, etc.
• Drive adoption of design frameworks like domain driven design, clean architecture, etc., resulting in a robust layered architecture.
• Drive good code review practices, using the review process as a mentoring tool to upskill people.
• Ensure test coverage of systems, partly through unit and integration testing, and partly through blackbox testing by collaborating with the Quality Assurance team, via good testing practices.

1. Project Management

• Drive the execution of the project by delegating tasks effectively.
• Resolve blockers through technical expertise, negotiation and delegation.
• Estimate timelines and ensure adherence to them through effective sync-ups and course corrections.

1. Maintenance

• Formulate SLAs and oversee their adherence for the various systems, effectively tracking issues and performance inefficiencies.
• Performance monitoring and optimization for systems.
• Drive technical re-design, remodeling and refactoring of systems for robustness and sustainability.

1. Team Management

• Typically manage a team of 3 - 6 members and a portfolio of 3 - 6 products.
• Do periodic assessment of reportees, chart their career growth paths and train them.
• Recruit members into the team by collaborating effectively with the recruitment team.

Product Overview

You will be contributing to products concerning both customers and partner drivers. Product sectors

include:

• Growth : You’ll build tools to help boost user growth on the platform including our industry bestdriver on-boarding, training and certification system, referral system, and lead managementmmodels.
• Lifecycle Management : Build tools to help users engage with the platform better, which includes rewards and recognition module, subscription service, account management tools, partner and customer wallets and payout modules, and churn detection systems among others.
• Transaction Experience : You’ll help deliver the most delightful booking experience to our customers and drivers. As part of this team, you’ll be responsible for our core booking system, pricing and payment systems, location tracking and filtering services, fraud prevention systems, and in-app ticketing and support among others.
• Fulfilment : As part of the fulfilment team, you’ll work on systems which ensure high degree of ride fulfilment on the platform. Tools including allocation methodologies and system, dynamic pricing, dynamic partner routing, and partner re-activation tools among others.
• Enterprise Solutions : You’ll help Porter’s enterprise customers achieve delivery excellence. You’ll build tools for contract management, fleet management, fleet and route optimisation tools, alerting and monitoring tools, and analytics suite among others.

Mobiloitte is a Premier, Full Service Software Development Company for Blockchain, IoT, Artificial Intelligence, BOTS, Mobile, and Web Development with a special focus on Timeliness, Security, Scale, and Performance. Our teams have worked across the industries and verticals while servicing more than 5000 projects so far. This rich experience with global clientele and varied technology landscape has shaped us into a winning team with a magic sauce of EXPERIENCE-EXUBERANCE-EXPERTISE combined and enables us to provide top-notch services and solutions.

We have an opening for Blockchain Developer.(Ethereum /Hyperledger)-

Job Title:  Blockchain Developer (Ethereum /Hyperledger)

Reports to: Project Manager             

Experience: 1-5 Years

Company Name : Mobiloitte Technologies.

Website : http://www.mobiloitte.com/" target="_blank">www.mobiloitte.com

Location:   New Delhi

Qualifications: B.E/B.Tech

Roles & Responsibilities:

1. Must have experience with combination of following DLT (Distributed Ledger Technology) related: Hyperledger Fabric, Sawtooth, Iroha, Node.js, Go, Composer, Ethereum, Solidity, Truffle, web3.js, Geth, Corda, NEO

2. Experience with containerization (Docker) and cloud-based computing (AWS, Bluemix, Azure) is a plus

3. Experience in pre-sales activities (proposal, client meetings, presentations)

4. Individual contributor with excellent analytical skills and ability to think out of the box (experience with requirements gathering/engineering are an advantage)

5. Excellent interpersonal and communication skills, including strong presentation skills

Desired Skills:

1. Hyperledger Fabric projects implementation experience is mandatory

2. Must have strong experience in writing chain code using Go Lang

3. Must have strong experience in implementing apps on top of Hyperledger Fabric using Angular or React front-end and NodeJS services

4.Hands on experience on-stellar,parity,R3 Corda,ethereum.

5.Should be hands on Consensus like-PBFT,PoW (Ethash)SCP (Steller Consensus Protocol) etc…

6.Good knowledge on Privacy like- public,private.

7.Must have ability to work collaboratively with a distributed agile team and deliver with high quality

8.Must have strong experience in DevOps using Git, Jenkins, Dockers, Kubernetes

9. Any experience in one of the Cloud platforms AWS or Azure or IBM BlueMix is an advantage

10.Business domain knowledge in Finance will be an added advantage.

• Strong knowledge of .NET web frameworkwith .Net 3.5/4.0 Version.
• Experience on web-based projects using NET, C# and MS-SQL Server, JavaScript.
• Strong understanding of object-oriented programming.
• Skill for writing reusable libraries.
• Familiar with various design and architectural patterns.
• Knowledge of concurrency patterns.
• Familiarity with Microsoft SQL Server.
• Experience with popular web application frameworks.
• Familiarity with Windows Presentation Framework.
• Knack for writing clean, readable, and easily maintainable code.
• Understanding of fundamental design principles for building a scalable application
• Experience creating database schemas that represent and support business processes.

Profile: Java developer (2-4 years) - Noida

MUST Have: Core Java, data structure

NP: Immediate to 30 Days

Salary : Upto 9 LPA

MUST Haves: Java 1.8, Core Java, Data structure

Requirements:

• Java 1.8 version with Collections, Multithreading working knowledge –(Mandatory)
• Data Structures, BPM-Alfresco & Groovy