Business Development Executive

Key Responsibilities:

• Counsel prospective students/parents about courses and programs 

• Handle inbound and outbound leads effectively 

• Convert inquiries into enrollments through strong sales techniques 

• Build and maintain relationships with students and clients 

• Achieve monthly and quarterly sales targets 

• Provide accurate information about courses, fees, and career outcomes 

• Maintain records of interactions and follow-ups 

Candidate Requirements:

• Minimum 1 year of experience in the Ed-Tech industry 

• Strong communication and interpersonal skills 

• Proven sales ability and target-driven mindset 

• Ability to handle objections and close deals effectively 

• Comfortable working in a fast-paced environment 

Job Description:

We are seeking a Cloud & AI Platform Engineer to design and operate AI-native infrastructure that supports large-scale machine learning, generative AI, and agentic AI systems. 

This role will focus on building secure, scalable, and automated multi-cloud platforms across AWS, Azure, GCP, and hybrid on-prem environments, enabling teams to deploy LLMs, AI agents, and data-driven applications reliably in production. 

You will work at the intersection of cloud engineering, MLOps, LLMOps, DevOps, and data infrastructure, helping build platforms that support RAG pipelines, vector search, AI model lifecycle management, and AI observability. 

Key Responsibilities

AI & Agentic Infrastructure 

• Design infrastructure to support agentic AI systems, autonomous agents, and multi-agent workflows. 
• Build scalable runtime environments for LLM orchestration frameworks. 
• Enable deployment of AI copilots, assistants, and autonomous decision systems. 

Common frameworks may include: 

• LangChain 
• LlamaIndex 
• AutoGPT 

LLMOps & AI Model Lifecycle 

Design and manage LLMOps pipelines for the full lifecycle of large language models: 

• Model deployment 
• Prompt management 
• Versioning 
• Evaluation and testing 
• Model monitoring 

Integrate with AI platforms such as: 

• Azure Machine Learning 
• Amazon SageMaker 
• Vertex AI 

Retrieval-Augmented Generation (RAG) Infrastructure 

Design and optimize RAG pipelines that integrate enterprise knowledge with LLMs. 

Responsibilities include: 

• Document ingestion pipelines 
• Embedding generation workflows 
• Knowledge indexing 
• Query orchestration 
• Retrieval optimization 
• Support scalable semantic search architectures. 

Vector Database & Knowledge Infrastructure 

Deploy and manage vector databases used for AI applications and semantic retrieval. 

Common technologies include: 

• Pinecone 
• Weaviate 
• Milvus 
• FAISS 

Responsibilities include: 

• Index optimization 
• Query latency tuning 
• Scalable embedding storage 
• Hybrid search architecture 

Multi-Cloud AI Infrastructure 

Design and maintain AI-ready infrastructure across: 

• Amazon Web Services 
• Microsoft Azure 
• Google Cloud Platform 

Key responsibilities include: 

• GPU infrastructure management 
• Distributed training environments 
• Hybrid cloud integrations with on-prem data centers 
• Infrastructure scaling for AI workloads 

Data Platforms & Integration 

• Support deployment and optimization of data lakes, data warehouses, and streaming platforms. 
• Work with data engineering teams to ensure secure and scalable data infrastructure. 

Cloud Architecture & Infrastructure 

• Design and implement scalable multi-cloud infrastructure across Azure, AWS, and Google Cloud. 
• Build hybrid cloud architectures integrating on-premise environments with cloud platforms. 
• Implement high availability, disaster recovery, and auto-scaling architectures for AI workloads. 

DevOps, Platform Engineering & Automation 

Build automated cloud infrastructure using modern DevOps practices. 

Tools may include: 

• Terraform 
• Docker 
• Kubernetes 
• GitHub Actions 

Responsibilities include: 

• Infrastructure as Code (IaC) 
• Automated deployments 
• CI/CD pipelines for AI models and services 
• Platform reliability and scalability 

AI Observability & Monitoring 

Implement observability frameworks to monitor AI systems in production. 

This includes: 

• Model performance monitoring 
• Prompt evaluation 
• Hallucination detection 
• Latency and throughput analysis 
• Cost monitoring for LLM usage 

Tools may include: 

• Arize AI 
• WhyLabs 
• Weights & Biases 

Security, Governance & Responsible AI 

Ensure AI systems follow strong governance and security practices. 

Responsibilities include: 

• Data privacy and compliance 
• Model governance frameworks 
• Secure model deployment 
• Monitoring model bias and drift 
• AI risk management 

Support enterprise frameworks for Responsible AI and AI compliance. 

Data & Security 

• Experience with data lake architectures, distributed storage, and ETL pipelines 
• Knowledge of data security, encryption, IAM, and compliance frameworks 
• Familiarity with AI governance and responsible AI practices 

Required Skills 

Cloud & Infrastructure 

• Strong experience in Azure (must have), AWS or GCP 
• Hybrid and multi-cloud architecture 
• GPU infrastructure management 

DevOps & Automation 

• Kubernetes 
• Docker 
• Terraform 
• CI/CD pipelines 

AI / ML Platforms 

• MLOps pipelines 
• Model deployment 
• Model monitoring 

AI Application Infrastructure 

• Vector databases 
• RAG pipelines 
• LLM orchestration frameworks 

Programming 

Experience in one or more languages: 

• Python 
• Go 
• Java 
• TypeScript 

Preferred Qualifications 

• Experience building AI copilots or autonomous agents 
• Knowledge of distributed model training - Knowledge of GPU infrastructure and distributed training 
• Familiarity with AI evaluation frameworks - Familiarity with model monitoring, drift detection, and AI observability 
• Experience building enterprise AI platforms 

Education & Experience 

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field 
• 4–8+ years experience in cloud infrastructure, DevOps, or platform engineering 
• Experience working in data-driven or AI-focused environments 

What Success Looks Like 

• Reliable ML model deployment pipelines - Reliable infrastructure for LLMs and AI agents, Scalable RAG knowledge platforms 
• Efficient multi-cloud infrastructure management - Fast deployment cycles for AI products 
• Secure and scalable AI-ready cloud platforms 
• Strong automation and governance across cloud and AI systems 

Basic Qualifications :

● Experience: 4+ years.

● Hands-on development experience with a broad mix of languages such as JAVA, Python, JavaScript, etc.

● Server-side development experience mainly in JAVA, (Python and NodeJS can be considerable)

● UI development experience in ReactJS or AngularJS or PolymerJS or EmberJS, or jQuery, etc., is good to have.

● Passion for software engineering and following the best coding concepts.

● Good to great problem solving and communication skills.

Radius Infotech Pvt. Ltd.

About us: The ISO 9001:2008 multifaceted family of companies, established in 1994. Since the inception, Radius has been dedicated to provide better solutions to the industry through diverse businesses. We are successful in bringing innovative, reliable and qualitative services. We have the caliber to canvas your imaginations in to the real world of technology and luxury. A leading service provider a reliable citizen an ethical business Radius is all of these and more. At Radius Group, our solutions, our people, and our approach to business are held to only the highest standards so that we can more effectively contribute to better surroundings.

Company Name: Radius InfoTech Pvt. Ltd.

Website: www.radiusinfotech.in

Position Required: Senior Manager (Low Voltage Systems)

Experience: Minimum 8- 10 Years

Industry: Electronics/Electrical

Functional Area: Project management / Business Development/ Project Sales

Role Category: Manager

Location: Delhi/NCR

Education Qualification- B. Tech. / MBA (Marketing) or BE/MBA

(Marketing)

Job title: Manager (Low Voltage Security Solutions)

Job Summary: We are seeking a dynamic and results-driven Senior Manager in Business Development to drive sales and market expansion for our IoT-based security solutions including CCTV, Fire Alarm & Public Address Systems, Parking Management, Access Control, Visitor Management, and Scanning & Frisking solutions. The ideal candidate will have a strong background in B2B sales, partner management, and IoT-based security solutions with a proven track record of achieving sales targets.

Key Responsibilities:

 Market Expansion & Sales Growth: Identify new business opportunities, develop sales strategies, and drive revenue growth for IoT-based security solutions.

 Client Relationship Management: Build and maintain strong relationships with key stakeholders, system integrators, and decision-makers in industries such as commercial, retail, healthcare, and government sectors.

 Solution Selling: Provide consultative sales, demonstrating deep knowledge of security and automation technologies to meet client needs.

 Strategic Partnerships: Collaborate with technology OEM’s, vendors, distributors, and service providers to expand solution offerings and enhance service capabilities.

 Tender & Proposal Management: Lead the preparation and submission of proposals, RFPs, and tenders in coordination with the technical and pre-sales teams.

 Market Research & Competitive Analysis: Stay updated on industry trends, emerging technologies, competitor activities, and regulatory requirements in the security solutions domain.

 Cross-functional Collaboration: Work closely with the technical, product, and marketing teams to ensure the right positioning and customization of solutions for clients.

Qualifications & Skills:

• Experience: Minimum 8 years in Business Development/Sales in IoT, Security Systems, or Smart Infrastructure Solutions.
• Educational Background: Bachelor's degree in business, Engineering, Electronics, or a related field. MBA is a plus.
• Technical Knowledge: Strong understanding of CCTV, Fire & Public Address Systems, Access Control, Parking Management, Visitor Management, and related IoT technologies.
• Sales Acumen: Demonstrated ability to develop strategic business plans and achieve sales targets.
• Networking & Communication: Excellent interpersonal and negotiation skills with the ability to influence decision-makers.
• Project Management: Ability to handle multiple projects, meet deadlines, and work under pressure.
• Travel: Willingness to travel as needed for client meetings, site visits, and industry events.

Why Join Us?

• Opportunity to work with cutting-edge IoT and smart security solutions.
• Competitive salary and performance-based incentives.
• Career growth in a rapidly expanding industry.

Greeting from Evervent !

About Evervent

Founded by Insurance industry veterans and Engineers. EVERVENT exists to help you enable digital transformation and grow your business. We are Insurance Experts , Digital Marketers, Technology Thinkers, Innovators, Experimenters and most Importantly Products Enthusiasts. We love building disruptive products and solutions for our clients. We aim to be the Global leaders Fintech Products by 2025.Evervent stands for Forever Innovative, founded by technology and insurance industry experts, it started as an online insurance intermediary in 2013, with technology in its core of all processes and practice. Evervent now, develops technology that enables insurance and fintech industry to go digital. Based out at Chandigarh and Karnal, In a short span time, Evervent has won contracts from leading insurance intermediaries, government agencies and international clients and poised for tremendous growth in coming months.

We are looking for Self motivated, Passionate Technology enthusiasts seasoned Senior MERN Stack Developer to join our team. Developing high end enterprise products for Fintech and Insure-tech market

Roles and Responsibilities:-

• Ability to translate Wireframes into functional web apps.

• Binding of UI elements to JavaScript object models

• Creating RESTful services with Node.js

• MERN stack developer must have proven experience in front & back-end development

• Work in a cross-functional team to deliver a complete user experience

• ReactJS NodeJS developer must know MongoDB, Express, Node.js, & React.

• Create Unit and Integration tests to ensure the quality of code

• Be responsive to change requests and feature requests

• Write code that is cross-platform and cross-device compatible

• MERN full stack developer must have the ability to wear many hats and learn new technologies quickly

• For MERN stack developer job, candidate must have good Knowledge of Node Debuggin

• Understanding & proficiency in REST APIs.

• MERN stack developers should know Git Repository and Jira.

• Integration of data storage solutions [RDBMS, NoSQL DB]

Required Candidate profile:

• Excellent in basic programming in any web technology Server and Client

• Like ReactJS/Node JS/ VueJS and Server-side scripts

• Basic knowledge in APIs, Micro Services

• Hands-On experience in Web development frameworks

• Hands-On in Database queries and concepts

• Understanding of performance testing and optimization techniques

Experience Required : 3-6 years.

What You Get at Evervent:

• Exiting work like working with startups to continuously reinvent/apply technology in new ways.

• No bar on salary for deserving Candidates

• Technical coaching to ensure continuous professional growth

• Career coaching by our expert HR staff and senior mentors

• Awards & recognition for your hard work

Our world class facilities include:

• Gaming Area for refreshing your mind

• Coffee/Tea breaks

• Open work culture

• Centrally cooled/heated office space

Prelude

Required Skills

• 2+ years of RELEVANT EXPERIENCE in ReactJS
• Strong Computer Science fundamentals - data structures and algorithms
• Strong understanding of ReactJS Ecosystem (State management, Component-based design, Hooks, Responsive design)
• Good with CSS (converting UI designs to code)
• Writing clean and maintainable code
• Proficient understanding of APIs and wiring them   
• Strong testing, debugging, and problem-solving skills
• Familiar with modern development practices - writing clean code, git versioning, understanding development workflows

• Design and develop high-quality web applications using the Django web framework
• Collaborate with other developers, product managers, and UX/UI designers to create innovative experiences
• Write reusable, testable, and efficient, clean, modular, and well-documented code
• Test and debug applications for optimal performance
• Monitor applications for performance and security issues
• Create and maintain the application's architecture
• Create and implement applications that are low-latency, high-availability, and performant
• Security and data protection implementation
• Data storage solution integration
• Develop user interfaces with React and Redux technologies
• Collaborate with other developers to ensure efficient delivery of features
• Troubleshoot, debug, and upgrade existing applications
• Monitor application performance and address any issues
• Research and suggest new technologies to improve existing applications
• Remain up-to-date with industry standards and best practices
• Managing and maintaining AWS
• Containerizing the solution with Docker
• Upgrade, update the existing solution
• Collaborate with the mobile app developer
• Stay up-to-date with the latest technologies and trends

• Proven work experience as a Django developer
• Strong knowledge of Python, HTML, CSS, and JavaScript
• Experience with relational databases such as MySQL or PostgreSQL
• Familiarity with developing RESTful APIs
• Strong knowledge of Django, Docker, AWS, React.js
• Able to use and understand different browser developer tools.
• Strong knowledge of GIT
• Able to use Postman, JIRA or similar tools
• Familiar with JSON
• Working knowledge of Django-compatible libraries like GeoDjango

• Bachelor’s/Master in computer science
• 5-7 years of work experience
• Excellent problem-solving skills
• Able to work in a fast, unstructured environment
• Excellent communication and collaboration skills
  Must have access to FTTH internet connection

Experience : 3-7 yrs

Location: Noida/Mumbai

The Supplier Relationship Manager (SRM) is a B2B inside sales focused on acquiring new business by winning new participants in our early pay markets and managing and those relationships for long term repeat business. Our clients are large companies across the globe and the goals of SRM are to:

(1) Encourage their supply chains to participate in the C2FO marketplace for early payment and

(2) Foster long-term utilization of our working capital platform.

Prior experience in financial sales is desirable, but ultimately, we are looking for candidates with a high degree of general sales acumen. The SRM primarily uses multi-media channels (outbound & inbound calls, email, digital presentations, WhatsApp, etc.) to acquire new market participants and grow supplier relationships. All accounts are provided to SRM, generally with warm leads. Although there is no expectation of cold calling, SRM will often need to prospect to identify key financial decision-makers. Sales efforts are consultative; helping suppliers to identify the best working capital solution possible is paramount. High performance is acknowledged and rewarded with attractive incentives.

Good communication skills and persuasion skills is a must-have. Fluency in English and Hindi to deal with India clientele is required.

Duties and Responsibilities :

• Acquire new market participants and retain existing participants.

• Increase frequency & quality of market participation.

• Manage, cultivate, and grow a book of business consistent with buyer objectives.

Desired Skills and Experience :

• Fluent in English and Hindi

• B2B sales experience

• Highly motivated with excellent work ethic

• Ability to work efficiently in a fast-paced environment

• Capacity to adapt quickly within a dynamic sales program

• Strong selling, negotiating and consulting skills

• Effective interpersonal and analytical abilities

• Proficiency in MS Word, Excel and Outlook

Preferred skills, knowledge & ability requirements :

• Strong financial acumen

• Inside B2B sales experience

• Experience with SalesForce.com

• Good in mathematical skills

Qualification and Experience :

• Post-Graduation in Finance, Sales and Marketing (preferred but not mandatory)

• Min 2-6 years of experience in sale of financial products

About Us :

C2FO is working to deliver a future where every company in the world has the capital it needs to grow. Our technology provides an easy, low-cost way for businesses of all sizes to increase cash flow by receiving early invoice payments. Since 2008, C2FO’s online marketplace and innovative financial products have accelerated payments by more than one billion days for companies in over 180 countries.

Named one of Forbes’ “Fintech 50,” C2FO provides more than $1 billion in working capital each week for hundreds of thousands of businesses. C2FO has more than 500 employees worldwide, with headquarters in Kansas City and locations throughout Europe, Asia Pacific and Australia. For more information, visit http://www.C2FO.com" target="_blank">www.C2FO.com.

Commitment to Diversity and Inclusion:

As an Equal Opportunity Employer, we not only value diversity and equality, we cultivate teams that feel empowered to bring their authentic selves to work every day. We strive to create a workplace that reflects the communities we serve and our global, multicultural clients. We recognize the power of inclusion, emphasizing that each team member was chosen for their unique ability to contribute to the overall success of our mission.

We do not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business needs.

• Use data to develop machine learning models that optimize decision making in Credit Risk, Fraud, Marketing, and Operations
• Implement data pipelines, new features, and algorithms that are critical to our production models
• Create scalable strategies to deploy and execute your models
• Write well designed, testable, efficient code
• Identify valuable data sources and automate collection processes.
• Undertake to preprocess of structured and unstructured data.
• Analyze large amounts of information to discover trends and patterns.

Requirements:

• 2+ years of experience in applied data science or engineering with a focus on machine learning
• Python expertise with good knowledge of machine learning libraries, tools, techniques, and frameworks (e.g. pandas, sklearn, xgboost, lightgbm, logistic regression, random forest classifier, gradient boosting regressor, etc)
• strong quantitative and programming skills with a product-driven sensibility