Inside Sales Executive

Strong Data Scientist / AI Engineer / Generative AI Engineer profile.

2

Mandatory (Experience 1) - Must have 3+ years of hands-on experience in Data Science, Artificial Intelligence, Machine Learning, Deep Learning, NLP, or Generative AI application development.

3

Mandatory (Experience 2) - Must have strong hands-on experience in Python programming, backend development, API development, and production-grade application support.

4

Mandatory (Experience 3) - Must have experience working with Machine Learning and Deep Learning frameworks such as PyTorch, TensorFlow, Keras, or Scikit-learn.

5

Mandatory (Experience 4) - Must have hands-on experience in NLP use cases such as text classification, sentiment analysis, entity recognition (NER), semantic search, embeddings, or document understanding.

6

Mandatory (Experience 5) - Must have experience working with Large Language Models (LLMs) such as GPT, LLaMA, Mistral, Phi, Claude, Gemini, or similar models.

7

Mandatory (Experience 6) - Must have hands-on experience building or implementing Retrieval Augmented Generation (RAG) solutions, vector search, semantic search, or knowledge-based AI applications.

8

Mandatory (Experience 7) - Must have experience with Prompt Engineering and Generative AI frameworks such as LangChain, LangGraph, AI Agents, Azure OpenAI, or similar technologies.

9

Mandatory (Experience 8) - Must have experience developing, consuming, or integrating APIs using Python frameworks such as FastAPI, Flask, or similar technologies.

10

Mandatory (CTC) - The CTC breakup offered will be 75% fixed + 25% variable, as per company policy.

11

Preferred (Experience 1) - Experience with LLMOps/MLOps tools for monitoring, evaluation, experimentation, and versioning of AI models.

12

Preferred (Experience 2) - Exposure to Azure OpenAI, Azure Kubernetes Service (AKS), Kubernetes, cloud-native AI deployments, or distributed systems.

13

Preferred (Experience 3) - Experience working with PostgreSQL, MongoDB, Redis, Kafka, or large-scale data platforms.

14

Preferred (Experience 4) - Familiarity with Docker, Kubernetes, cloud platforms, and scalable deployment architecture.

15

Preferred (Company) - Candidates from AI-first startups, product companies, SaaS organizations, fintech, or data-driven technology companies.

16

Mandatory ( Age ) - Candidate Should be Below 28 Years.

17

Mandatory ( Pedigree) - B.TECH / M.TECH from Tier 1 Colleges (IIT's, NIT's, BITS) are Considered.

We are looking for an experienced MEAN Stack developer to lead the design, development, and delivery of scalable web applications. The ideal candidate will have strong expertise in the MEAN stack.

Key Responsibilities

• Lead the design, development, and deployment of web applications using MongoDB, Express.js, Angular, Node.js, NestJS, and TypeScript..
• Design scalable RESTful APIs and integrate third-party services.
• Ensure code quality through testing, debugging, and performance optimization.
• Collaborate with product managers, architects, and stakeholders to deliver business requirements.
• Oversee application deployment using Docker, Kubernetes, and microservices architecture.
• Manage production support, troubleshoot critical issues, and ensure system reliability.
• Drive Agile development practices and continuous improvement initiatives.

Required Skills

• Strong expertise in MongoDB, Express.js, Node.js, NestJS, TypeScript, and Angular.
• Experience in REST API development and third-party API integration.
• Proficiency in Git, unit testing (Jest/Jasmine), Docker, Kubernetes, and microservices.

Technology / Frame work: Angular, Ionic

Roles:

• Design frontend architecture.
• Provide solution for business needs.
• 9+ years of experience in modern Javascript frameworks (Angular JS, Knockout, React) and other front end technologies (HTML5, CSS 3, Bootstrap)
• Caching techniques such as Service workers to improve the front end performance.
• Experience in unit testing automation frameworks such as Karma, Jasmine, Protractor.
• Experience in optimization of UI for mobile & tablet devices for infinite & smooth scrolling.
• Experience in Service side rendering technologies such as Angular 10. 0, typescript, React JS.
• Experience in setting up DevOps & Continuous Delivery pipeline for front end technologies using a standard platform such as Jenkins, Puppet , Team City or IBM Urban Build.
• Code quality measurement using automated tools as well as manual code reviews for Javascript technologies
  
  

Desired/Preferred Qualifications :

• Bachelor's degree or equivalent experience
• Strong problem solving and conceptual thinking abilities
• Desire to work in a collaborative, fast-paced, start-up like environment.
• Experience leveraging node.js frameworks such as Express.
• Experience with distributed source control management, i.e. Git

We are looking for a "Web Content Editor" to manage and execute content updates for a global B2B website, working closely with internal teams across multiple markets.

Not a writing role. Not a developer role.

Key Responsibilities:

* Manage website updates using SAP SmartEdit

* Handle content requests from global teams across regions

* Coordinate with marketing, product, and technical teams for content-related updates

* Own workflows, tickets and timelines

* Ensure accuracy through strong QA before publishing 

* Track performance using GA4  

Who Should Apply:

* 3-6 years experience in website management / CMS / digital operations

* Hands-on experience with SAP SmartEdit or similar tools

* English communication (written & verbal)

* Organized, detail-oriented, and process-driven

* Comfortable working with global teams

Location: Noida, Sector 8 (Full-time, on-site)

If you see yourself managing a global website, and upscaling your coordination skills, please fill out the application below:

https://forms.gle/NdAe55ERLN7jFy2a6

(Only shortlisted candidates will be contacted for next steps)

#hiring #webcontenteditor #CMS #SAPSmartEdit #Coordination

Job description

Who we are looking for

· A Natural Language Processing (NLP) expert with strong computer science fundamentals and experience in working with deep learning frameworks. You will be working at the cutting edge of NLP and Machine Learning.

Roles and Responsibilities

· Work as part of a distributed team to research, build and deploy Machine Learning models for NLP.

· Mentor and coach other team members

· Evaluate the performance of NLP models and ideate on how they can be improved

· Support internal and external NLP-facing APIs

· Keep up to date on current research around NLP, Machine Learning and Deep Learning

Mandatory Requirements

· Any graduation with at least 2 years of demonstrated experience as a Data Scientist.

Behavioural Skills

· Strong analytical and problem-solving capabilities.

· Proven ability to multi-task and deliver results within tight time frames

· Must have strong verbal and written communication skills

· Strong listening skills and eagerness to learn

· Strong attention to detail and the ability to work efficiently in a team as well as individually

Technical Skills

Hands-on experience with

· NLP

· Deep Learning

· Machine Learning

· Python

· Bert

Preferred Requirements

· Experience in Computer Vision is preferred

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 .

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

Your role and responsibilities

• Integrating REST APIs in front-end application using React JS
• Implementing business logic in front-end application using javascript, should be able to handle complex JSON architecture.
• Should be able to manage states using Redux, Redux thunk/saga, Mobx.
• Should be comfortable in using both functional and class components in React.
• Should be able to create reusable components to make efficient applications. We hate code duplication.
• Must be familiar with popular React UI libraries like Material UI, Antd.
• Implement best practices and constantly learn new ways of keeping codebases up to date.
• Having knowledge in Typescript, GraphQL, NextJS, Socket.io is like a match made in heaven.

Criteria

• 2+ years of work experience with Javascript and React JS.
• Proficient understanding of code versioning tools, such as Git.
• Open-minded individual, open to learning new things
• A bit lazy is okay. Lazy people always find the quickest way to reach the solution. They write the most efficient code. We love that.
• You care about the design and user experience of an application. The choice of third-party libraries should be elegant.

As a product engineer, you will be responsible for continuous improvement of Cashfree experience for all our customers and end-users. You will dream big but identify and take small steps towards achieving that goal. You will receive great feedbacks at every step of the development cycle from your peers to our customers and end-users.

You may be working on architecting the money disbursement flow or creating most-friendly interface for consumer payment. All our engineers identify as generalist and building products that are useful and delightful are core to our engineering culture.

You're more than a coder. You wil be part of entire product process, from conceptualizing till post-launch evaluation. You should have deep empathy for the users to minimize the gap between what we build and what they need. Have sound judgement to balance between code writing speed and it's maintainability. Knowledge of variety of server-side/frontend frameworks is desirable but not compulsory.