
About Paytm
About
About Us:
Paytm is India’s leading digital payments and financial services company, which is focused on driving consumers and merchants to its platform by offering them a variety of payment use cases. Paytm provides consumers with services like utility payments and money transfers, while empowering them to pay via Paytm Payment Instruments (PPI) like Paytm Wallet, Paytm UPI, Paytm Payments Bank Netbanking, Paytm FASTag and Paytm Postpaid - Buy Now, Pay Later. To merchants, Paytm offers acquiring devices like Soundbox, EDC, QR and Payment Gateway where payment aggregation is done through PPI and also other banks’ financial instruments. To further enhance merchants’ business, Paytm offers merchants commerce services through advertising and Paytm Mini app store. Operating on this platform leverage, the company then offers credit services such as merchant loans, personal loans and BNPL, sourced by its financial partners.
Why join us:
- Because you get an opportunity to make a difference, and have a great time doing that.
- You are challenged and encouraged here to do stuff that is meaningful for you and for those we serve.
- You should work with us if you think seriously about what technology can do for people.
- We are successful, and our successes are rooted in our people's collective energy and unwavering focus on the customer, and that's how it will always be.
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Duties
About Us:
We are a UK-based conveyancing firm dedicated to transforming property transactions through cutting-edge artificial intelligence. We are seeking a talented Machine Learning Engineer with 1–2 years of experience to join our growing AI team. This role offers a unique opportunity to work on scalable ML systems and Generative AI applications in a dynamic and impactful environment.
Responsibilities:
Design, Build, and Deploy Scalable ML Models
You will be responsible for end-to-end development of machine learning and deep learning models that can be scaled to handle real-world data and use cases. This includes training, testing, validating, and deploying models efficiently in production environments.
Develop NLP-Based Automation Solutions
You'll create natural language processing pipelines that automate tasks such as document understanding, text classification, and summarisation, enabling intelligent handling of property-related documents.
Prototype and Implement Generative AI Tools
Work closely with AI researchers and developers to experiment with and implement Generative AI techniques for tasks like content generation, intelligent suggestions, and workflow automation.
Integrate ML Models with APIs and Tools
Integrate machine learning models with external APIs and internal systems to support business operations and enhance customer service workflows.
Maintain CI/CD for ML Features
Collaborate with DevOps teams to manage CI/CD pipelines that automate testing, validation, and deployment of ML features and updates.
Review, Debug, and Optimise Models
Participate in thorough code reviews and model debugging sessions. Continuously monitor and fine-tune deployed models to improve their performance and reliability.
Cross-Team Communication
Communicate technical concepts effectively across teams, translating complex ML ideas into actionable business value.
· Design, build, and deploy scalable ML and deep learning models for real-world applications.
· Develop NLP-based and Gen AI based solutions for automating document understanding, classification, and summarisation.
· Collaborate with AI researchers and developers to prototype and implement Generative AI tools.
· Integrate ML and Gen AI models with APIs and internal tools to support business operations.
· Work with CI/CD pipelines to ensure continuous delivery of ML features and updates.
· Participate in code reviews, debugging, and performance optimisation of deployed models.
· Communicate technical concepts effectively across cross-functional teams.
Essentials From Day 1:
Security and Compliance:
• Ensure ML systems are built with GDPR compliance in mind.
• Adhere to RBAC policies and maintain secure handling of personal and property data.
Sandboxing and Risk Management:
• Use sandboxed environments for testing new ML features.
• Conduct basic risk analysis for model performance and data bias.
• Use sandboxed environments for testing and development.
• Evaluate and mitigate potential risks in model behavior and data pipelines
Qualifications:
· 1–2 years of professional experience in Machine Learning and Deep Learning projects.
· Proficient in Python, Object-Oriented Programming (OOPs), and Data Structures & Algorithms (DSA).
· Strong understanding of NLP and its real-world applications.
· Exposure to building scalable ML systems and deploying models into production.
· Basic working knowledge of Generative AI techniques and frameworks.
· Familiarity with CI/CD tools and experience with API-based integration.
· Excellent analytical thinking and debugging capabilities.
· Strong interpersonal and communication skills for effective team collaboration.
- Delivering a complete front end application
- Ensuring high performance on mobile and desktop
- Writing tested, idiomatic, and documented JavaScript, HTML and CSS
- Coordinating the workflow between the graphic designer, the HTML coder, and yourself
- Cooperating with the back-end developer in the process of building the RESTful API
- Communicating with external web services
- Integration of client-side elements developed by a frontend developers with server side logic
- Develop back-end components to improve responsiveness and overall performance
- Building reusable code and libraries for future use
- Test and debug programs
- Improve functionality of existing systems
- Implement security and data protection solutions
- Assess and prioritize feature requests
- Coordinate with other team members to understand user requirements and provide technical solutions
- Ability to lead a team
Skills and Competencies:
- Proficiency with JavaScript, TypeScript, HTML and CSS
- Fundamental Knowledge of an SPA (Single page application)
- Deep knowledge of AngularJS practices and commonly used modules based on extensive work experience
- Creating self-contained, reusable, and testable modules and components
- Ensuring a clear dependency chain, in regard to the app logic as well as the file system
- Ability to provide SEO solutions for single page apps
- Thorough understanding of the responsibilities of the platform, database, API, caching layer, proxies, and other web services used in the system
- Validating user actions on the client side and providing responsive feedback
- Writing non-blocking, optimized, reusable and scalable code
- Creating custom, general use modules and components which extend the elements and modules of core Angular
- Experience with building the infrastructure for serving the front-end app and assets
- Architecting and automating the build process for production, using task runners or scripts
- Documenting the code inline using JSDoc or other conventions
- Creating e2e test suites for all components, and running them with Protractor (or a well reasoned alternative)
- Creating configuration, build, and test scripts for Continuous Integration environments
- Professional, precise communication skills
- Proficient understanding of code versioning tools such as git is required
- Excellent presentation, problem-solving and team working skills
- Understanding of modern development methodologies and tools including Agile (XP and Scrum), Rapid Application Development, etc.
- Proficient knowledge of Python with a backend server framework like Flask or Django
- Implementing user authentication and authorization between multiple systems, servers, and environments
- Understanding accessibility and security compliance from the Business statement & implement them accordingly
- Building API services from scratch - Project structuring, setting up environment objects, build reusable components, etc
- Integration of multiple data sources and databases into the application code
- Management of hosting environment, including database administration and scaling an application to support load changes
- Creating database schemas that represent and support the business use case
- Experience with scripting for task automation and data analysis
- Implementing automated testing and unit tests cases using tools like Postman or any other libraries
- Basic understanding of front-end technologies and platforms, such as JavaScript, HTML, and CSS would be a value-add
- Professional, precise communication skills
Qualification and Experience:
- B.E. / B. Tech. / MCA / PGDCA / M.Sc. (CS) /M.E. / M. Tech
- 4+ years of experience in Web Application and Backend Development
- Proven expertise in testing of application software to assure accuracy, integrity, completeness to achieve desired results
- Experience with AngularJS (v1.x.x) would be a value-add
- Proficient knowledge of Python or any other back-end programming language
- Demonstrated experience with Object Oriented design and development
- Proven expertise in testing of application software to assure accuracy, integrity, completeness to achieve desired results
- Experience in working with MongoDB or other NoSQL databases would be a value-add
- Knowledge of Microservices, Dockers, Kubernetes
- Exposure to Google Cloud Platform and/or Amazon Web Services
Senior Cloud Engineer / Jr. Cloud Solutions Architect
Roles and Responsibilities
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Define, implement, deploy and maintain development, QA & production environments for cloud-based Azure architecture.
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Create a strategy for establishing a secure and well-managed enterprise environment in Azure
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Define and implement security architecture for production, ensure data security at all levels.
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Provision Infrastructure as code using Azure CLI Powershell ARM templates and or Terraform with Ansible or other tools.
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Develop scripts to automate the deployment of resource stacks and associated configurations
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Extend MLP standard systems management processes into the cloud including change, incident, and problem management
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Establish and implement monitoring and management infrastructure for both availability and performance management
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Implement observability patterns using Azure Monitor Azure Application Insights and Log Analytics Workspace.
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Provide internal training to the team.
Primary Skills/Requirements
-
5+ years of experience in IT and infrastructure
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3+ years of experience in Azure design, support and management for a large-scale organization
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Experience in design and implementation of high availability architecture.
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Strong experience in Azure CLI Powershell and ARM Templates Terraform.
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Strong understanding of IT Security and related audits
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Experience with deploying applications on Linux - Ubuntu
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Should know Azure offerings (Storage, OS instances, Availability zones, DR, Load balancers, VPN tunnel, Application Gateway, etc.)Cloud monitoring Experience with Azure Log Analytics Azure Monitor.
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Experience with log collection tools and analysis, as well as infrastructure performance monitoring tools and optimization practices
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Microsoft Azure Certification MCSE: Cloud Platform and Infrastructure or equivalent certification would be an added advantage
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Experience with Postgres SQL Database
Behavioural
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Positive work ethics
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Ability to adapt to dynamic environment
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Time Management
-
Team Player
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Communication skills
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Ability to work independently
Experience: 5 to 6 years
Tertiary qualifications in Software Engineering.
2+ years experience in front end development using React or another JS or TS based language such as VueJS, Angular 8years.
2+ years experience in modern web design.
2+ years experience in full stack development using Python or PHP based backends.
1+ years experience microservices development.
1+ years experience with AWS Lambda, API Gateway or similar.
Understanding of OAuth or OIDC authentication flows Understanding of the OWASP Top 10 secure coding recommendations.
Exposure to basic Database Design.
Exposure to and understanding of PromQL or GraphQL, REST and SOAP.
Requirements:
Ability to work effectively in a team and independently.
Excellent English written and verbal communication skills.
Ability to multi-task and work under pressure.
Strong organizational, analytical and problem solving skills.
Ability to develop and maintain strong interpersonal working relationships with peers and customers.
Thoroughness and a high level of attention to detail.
Must be able to conceptualise systems that comprise of people, process and/or technologies and consider the broader integration perspectives.
Skills and Requirement
Knowledge of PHP
Basic knowledge of HTML and CSS
Excellent communication skills
Problem-solving skills
Freshers are welcome to apply
Responsibilities
Integration of user-facing elements developed by front-end developers
Build efficient, testable, and reusable PHP modules
Solve complex performance problems and architectural challenges
Integration of data storage solutions.
- Bachelor's degree in Computer Science (or related field)
- 5+ years of relevant work experience
- Expertise in React.js, React-native, Python, Android & Database
- Experience with Agile or Scrum software development methodologies
- Ability to multi-task, organize, and prioritize work








