Design Technologist in India

About Us: Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology About the team: Paytm Ads is Paytm's digital advertising vertical that offers innovative ad solutions to clients across industries It offers advertisers the opportunity to engage with 300Mn+ users who interact with over 200 payment & retail services, online and offline - offered on the Paytm app. Paytm Ads maps the user transactions to their lifestyle choices and creates customized segmentation cohorts for sharp shooting ad campaigns to the most relevant TG. About the Role: We’re seeking a Creative Designer to own and drive the visual communication strategy for in-app ad campaigns, marketing collaterals, and innovation projects across the Paytm Ads ecosystem. As the Creative Design Lead, you'll manage end-to-end design responsibilities from stakeholder communication and creative strategy to hands-on design execution and team management. You'll collaborate cross-functionally with business, marketing, and product teams to deliver high-impact, performance-oriented creatives. Key Responsibilities: Creative Direction & Execution Lead the design development for in-app ad creatives, banners, videos, and marketing campaigns. Translate briefs into strong visual concepts aligned with brand and campaign goals. Team & Stakeholder Management Manage and mentor a team of junior designers, providing feedback and quality control. Liaise with internal stakeholders, category teams, account managers, and product owners to align on campaign objectives and timelines. Cross-Platform Visual Communication Design marketing collaterals including case studies, sales decks, social media creatives, and video assets. Work on campaigns tailored fo

Data Engineering – Technical Lead 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. 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. About the Role: This position requires someone to work on complex technical projects and closely work with peers in an innovative and fast-paced environment. For this role, we require someone with a strong product design sense & specialized in Hadoop and Spark technologies. Requirements: 4 to 8 years of experience in Big Data technologies. The position Grow our analytics capabilities with faster, more reliable tools, handling petabytes of data every day. Brainstorm and create new platforms that can help in our quest to make available to cluster users in all shapes and forms, with low latency and horizontal scalability. Make changes to our diagnosing any problems across the entire technical stack. Design and develop a real-time events pipeline for Data ingestion for real-time dash- boarding.Develop complex and efficient functions to transform raw data sources into powerful, reliable components of our data lake. Design & implement new components and various emerging technologies in Hadoop Eco- System, and successful execution of various projects. Be a brand ambassador for Paytm – Stay Hungry, Stay Humble, Stay Relevant! Skills that will help you succeed in this role: Fluent with Strong hands-on experience with Hadoop, MapReduce, Hive, Spark, PySpark etc.Excellent progr

A well-curated online and/or print portfolio/case study demonstrating UX/UI design skills, curiosity, positive attitude and strong drive to learn from a fast paced environment. Proven UX/UI design experience for multiple platforms including desktop, mobile, tablet. Excellent visual design skills with sensitivity to user-system interaction. Additionally experience in data informed and customer centric approach to design is key. Solid experience in creating wireframes, prototype, storyboards, user flows, and process flows. Experience in simplifying complex information through end-to-end experiences designs while co-creating with all the senior designers for smooth implementation. Up-to-date with the latest UI trends, rools, and technologies and their role in a commercial environment. 1-2 years of relevant experience with a B. DeS/M. DeS in Visual Design, Human-Computer Interaction, Interaction Design, or related is an advantage. General understanding of the front-end development process, including HTML and CSS. Ability to speak fluent English is a must. Demonstrable proficiency in presenting your designs and selling your solutions to various stakeholders through clear communication is key.

A well-curated online and/or print portfolio/case study demonstrating UX/UI design skills, curiosity, positive attitude and strong drive to learn from a fast paced environment. Proven UX/UI design experience for multiple platforms including desktop, mobile, tablet. Excellent visual design skills with sensitivity to user-system interaction. Additionally experience in data informed and customer centric approach to design is key. Solid experience in creating wireframes, prototype, storyboards, user flows, and process flows. Experience in simplifying complex information through end-to-end experiences designs while co-creating with all the senior designers for smooth implementation. Up-to-date with the latest UI trends, rools, and technologies and their role in a commercial environment. 1-2 years of relevant experience with a B. DeS/M. DeS in Visual Design, Human-Computer Interaction, Interaction Design, or related is an advantage. General understanding of the front-end development process, including HTML and CSS. Ability to speak fluent English is a must. Demonstrable proficiency in presenting your designs and selling your solutions to various stakeholders through clear communication is key.

A well-curated online and/or print portfolio/case study demonstrating UX/UI design skills, curiosity, positive attitude and strong drive to learn from a fast paced environment. Proven UX/UI design experience for multiple platforms including desktop, mobile, tablet. Excellent visual design skills with sensitivity to user-system interaction. Additionally experience in data informed and customer centric approach to design is key. Solid experience in creating wireframes, prototype, storyboards, user flows, and process flows. Experience in simplifying complex information through end-to-end experiences designs while co-creating with all the senior designers for smooth implementation. Up-to-date with the latest UI trends, rools, and technologies and their role in a commercial environment. 1-2 years of relevant experience with a B. DeS/M. DeS in Visual Design, Human-Computer Interaction, Interaction Design, or related is an advantage. General understanding of the front-end development process, including HTML and CSS. Ability to speak fluent English is a must. Demonstrable proficiency in presenting your designs and selling your solutions to various stakeholders through clear communication is key.

AI Tech Lead – Manager Experience- 8-12 years Job Overview: We are seeking a highly experienced AI Tech Lead to design, develop, and deliver scalable AI-driven applications while leading cross-functional teams. The role involves end-to-end ownership of AI solutions, including architecture design, deployment, and optimization, ensuring alignment with business objectives. The candidate will collaborate with stakeholders, data engineering teams, and product management to build enterprise-grade AI systems leveraging modern cloud and AI technologies. Key Responsibilities / (Person Specifications): Lead implementation and delivery of AI applications across teams. Design end-to-end AI architectures integrating open-source and enterprise tools. Translate business requirements into scalable AI solutions. Define architecture roadmaps and best practices. Build data pipelines, CI/CD, and monitoring systems. Deploy scalable systems using Docker and Kubernetes. Ensure performance, scalability, and security. Mentor teams and drive knowledge sharing. Key Skills / Job Specifications (Mandatory): AI frameworks: LangGraph, AutoGen, CrewAI. Strong Python with TensorFlow, PyTorch, Keras. Knowledge of NLP & Deep Learning (RNN, CNN, LSTM, Transformers). Cloud platforms: AWS / Azure / GCP. Docker, Kubernetes, CI/CD tools. Terraform / CloudFormation (IaC). SQL & NoSQL databases. Distributed systems, REST APIs, GraphQL, microservices.

Here's a summary of the role: Do you love building scalable cloud platforms and solving complex engineering problems with modern technologies? As a Senior Software Engineer at Diligent, you'll design and deliver high-performing , serverless applications that power our global SaaS platform. You'll work extensively with TypeScript, Node.js, AWS, and event-driven microservices, owning services from design to deployment and production monitoring. This is an opportunity to influence technical decisions, mentor engineers, and explore how AI can transform software development and engineering productivity. If you're passionate about cloud-native architectures, distributed systems, and building software that scales to millions of users, we'd love to meet you. Here's a breakdown of what you'll do (not all of it, just the important stuff): Design and build scalable backend services and event-driven microservices using TypeScript and AWS. Develop secure APIs and integrations that power reporting, analytics, and dashboard experiences. Build and maintain serverless solutions using AWS services such as Lambda, EventBridge , SQS, and DynamoDB. Drive engineering excellence through testing, observability, automation, and production readiness practices. Contribute to infrastructure-as-code and CI/CD pipelines using AWS CDK and modern DevOps practices. Mentor engineers, participate in architecture discussions, and champion the use of AI tools to improve development efficiency. These are the essentials you'll need to get an interview: 6-8 years of professional software engineering experience. Strong experience with TypeScript, Node.js, and modern backend development patterns. Hands-on experience building cloud-native applications on AWS. Strong understanding of serverless architectures and event-driven microserv

About the Team The AI Deployment Engineering team is responsible for helping developers and enterprises safely and effectively deploy OpenAI technologies in production. We act as trusted technical advisors and thought partners for customers, working side by side with their teams to identify high-value use cases, design practical architectures, and move from prototype to durable deployment. Cybersecurity is one of the most urgent domains where AI can help. Security teams are under pressure to reason across code, logs, infrastructure, tickets, alerts, and vulnerability data faster than ever. As frontier models become more capable, organizations need deep technical guidance on how to evaluate, validate, and safely deploy AI systems in security-critical workflows. About the Role We are looking for a Cyber AI Deployment Engineer to partner with customers and help them apply OpenAI models, APIs, Codex, and agentic workflows to real cybersecurity use cases. You will work with CISOs, security executives, application security leaders, SOC teams, security engineering teams, and hands-on practitioners to identify where AI can create measurable security outcomes. This is a customer-facing technical role for someone who can move fluidly between executive strategy, practitioner-level cyber depth, and hands-on solution design. You will help customers evaluate and deploy workflows such as secure code review, vulnerability triage, threat modeling, remediation, SOC and incident response workflows, detection engineering, cloud security, GRC automation, and security validation. You will collaborate closely with Sales, Solutions Engineering, Product, Engineering, Research, and Security to turn customer needs into safe deployment patterns, reusable field assets, and product feedback. This role is based in our Dublin Office. We offer relocation support to new employees. In this role, you will: Deeply embed with strategic customers as the technical lead for AI-enabled cybersecurity workflo

About the Team The AI Deployment Engineering team is responsible for helping developers and enterprises safely and effectively deploy OpenAI technologies in production. We act as trusted technical advisors and thought partners for customers, working side by side with their teams to identify high-value use cases, design practical architectures, and move from prototype to durable deployment. Cybersecurity is one of the most urgent domains where AI can help. Security teams are under pressure to reason across code, logs, infrastructure, tickets, alerts, and vulnerability data faster than ever. As frontier models become more capable, organizations need deep technical guidance on how to evaluate, validate, and safely deploy AI systems in security-critical workflows. About the Role We are looking for a Cyber AI Deployment Engineer to partner with customers and help them apply OpenAI models, APIs, Codex, and agentic workflows to real cybersecurity use cases. You will work with CISOs, security executives, application security leaders, SOC teams, security engineering teams, and hands-on practitioners to identify where AI can create measurable security outcomes. This is a customer-facing technical role for someone who can move fluidly between executive strategy, practitioner-level cyber depth, and hands-on solution design. You will help customers evaluate and deploy workflows such as secure code review, vulnerability triage, threat modeling, remediation, SOC and incident response workflows, detection engineering, cloud security, GRC automation, and security validation. You will collaborate closely with Sales, Solutions Engineering, Product, Engineering, Research, and Security to turn customer needs into safe deployment patterns, reusable field assets, and product feedback. This role is based in our Singapore office. We offer relocation support to new employees. In this role, you will: Deeply embed with strategic customers as the technical lead for AI-enabled cybersecurity work

About the Team The AI Deployment Engineering team is responsible for helping developers and enterprises safely and effectively deploy OpenAI technologies in production. We act as trusted technical advisors and thought partners for customers, working side by side with their teams to identify high-value use cases, design practical architectures, and move from prototype to durable deployment. Cybersecurity is one of the most urgent domains where AI can help. Security teams are under pressure to reason across code, logs, infrastructure, tickets, alerts, and vulnerability data faster than ever. As frontier models become more capable, organizations need deep technical guidance on how to evaluate, validate, and safely deploy AI systems in security-critical workflows. About the Role We are looking for a Cyber AI Deployment Engineer to partner with customers and help them apply OpenAI models, APIs, Codex, and agentic workflows to real cybersecurity use cases. You will work with CISOs, security executives, application security leaders, SOC teams, security engineering teams, and hands-on practitioners to identify where AI can create measurable security outcomes. This is a customer-facing technical role for someone who can move fluidly between executive strategy, practitioner-level cyber depth, and hands-on solution design. You will help customers evaluate and deploy workflows such as secure code review, vulnerability triage, threat modeling, remediation, SOC and incident response workflows, detection engineering, cloud security, GRC automation, and security validation. You will collaborate closely with Sales, Solutions Engineering, Product, Engineering, Research, and Security to turn customer needs into safe deployment patterns, reusable field assets, and product feedback. This role is based in our Tokyo office. We offer relocation support to new employees. In this role, you will: Deeply embed with strategic customers as the technical lead for AI-enabled cybersecurity workflow

Role Purpose: As a Principal iOS Engineer, you will make sure that our SDK stays cutting edge and therefore elegantly converts strangers into trusted users. You take pride in combining mobile native technologies with ML and CV. You feel comfortable switching hats between software development, software architecture, business requirements gathering, and working with our machine learning experts. You enjoy learning new technologies and sharing your code with others. Our team has already proven that our mobile SDK solution was perfect for far more than 100 Million users, join our team to make it even better. Example Responsibilities You’ll be responsible for the further development and architecture of our core products (mainly our native iOS SDK and sometimes on our end user-facing customer applications, cross-platform deliveries, …) Take ownership in delivering new functionality and fixes from idea creation, through the design phase until the public release. You write clean, readable and well documented code and you understand that your changes impact hundreds of well known applications in the app store and influence the experience of an impressive number of daily unique end-users using our SDK. Participate in resolving issues together with our customers. Collaborate with the whole R&D team / entire company to build features that matter Manage your own work by organizing your time, prioritizing tasks and taking ownership of topics. Experience and Qualifications 8+ years of experience in developing iOS applications in Swift Strong understanding of software design patterns as well as iOS specifics Capable of working on large scale projects Obsessive in delivering quality software Business driven and result-oriented individual Effective communication & collaboration skills as you will be working a high performing team who currently works in a distributed setup Experience with CI/CD Test Automation - writing Unit and Integration tests Android bas

Required Skills: Core Java: Strong understanding of Java SE, including OOP concepts, data structures, and algorithms. Frameworks: Experience with popular Java frameworks such as Spring and Hibernate. Web Technologies: Knowledge of web technologies including JSP, Servlets, HTML, CSS, and JavaScript. Database Management: Proficiency in working with relational databases like MySQL, PostgreSQL, or Oracle, including SQL queries and optimization. Version Control: Experience with version control systems like Git, including branching, merging, and pull requests. Build Tools: Familiarity with build tools like Maven or Gradle. RESTful Services: Ability to design and consume RESTful web services and APIs. Testing: Experience with unit testing frameworks like JUnit or TestNG. Problem-Solving: Strong analytical and problem-solving skills with the ability to troubleshoot and resolve complex issues. Preferred Skills: Spring Boot: Experience with Spring Boot for creating microservices. ORM: Proficiency with Object-Relational Mapping (ORM) tools like Hibernate or JPA. Frontend Technologies: Basic knowledge of frontend frameworks like Angular, React, or Vue.js. Cloud Platforms: Experience with cloud platforms such as AWS, Azure, or Google Cloud. Continuous Integration/Deployment (CI/CD): Familiarity with CI/CD tools such as Jenkins or GitLab CI. Microservices Architecture: Understanding of microservices architecture and containerization with Docker. Qualifications: Education: Bachelor’s degree in Computer Science, Information Technology, or a related field. Experience: 2-4 years of professional experience in Java development. Personal Attributes: Team Player: Ability to work collaboratively in a team environment. Communication: Strong verbal and written communication skills. Attention to Detail: High attention to detail and a commitment to delivering high-quality software. Adaptability: Ability to adapt to new technologies and changing requirements.

Description: Graviton is a privately funded quantitative trading firm striving for excellence in financial markets research. We are seeking a Software Engineer for our team in Gurgaon. Our Core Technology team has some of the best programmers in India working on cutting edge technologies to build a super fast and robust trading infrastructure handling millions of dollars worth of trading transactions every day. Requirements Contribute to all layers of backend systems including databases, APIs and applications Design, build and maintain applications for business requirements Architect scalable and reliable applications Write clean and modular code, following good coding standards and practices Troubleshoot and debug applications Be involved in the entire application lifecycle Collaborate with multidisciplinary team of front-end developers, engineers and system administrators Devise innovative solutions to address new and complicated challenges Build reusable code and libraries for future use Take lead on projects, as needed Work in a high paced competitive environment Qualifications The ideal candidate will have: Engineering degree in Computer Science (preferred) or any other discipline from a Tier 1 college. 3 to 4 years of relevant experience in designing and improving information systems Proficiency in Python programming Extensive experience working with relational databases and handling large datasets Good Understanding of object oriented and asynchronous programming Familiarity with front-end languages such as HTML, JavaScript and CSS Knowledge of Linux systems and bash scripting Good communication and interpersonal skills Willingness to continuously learn and improve Ability to work in fast paced environment under pressure and manage multiple high priority projects Good to have: Experience in Financial services space/domain Experience in and understanding of system design decisions Experience in leading small teams or projects Benefits: Our open and casua

AI/ML – Investment Services A Career with Point72's AI/ML – Investment Services Team The AI/ML – Investment Services team at Point72 spearheads the development of cutting-edge AI solutions that seek to transform our business processes and enhance enterprise intelligence. The team aims to bridge the gap between business challenges and technological innovation, collaborating with stakeholders across the firm and leveraging expertise in generative AI, data engineering, and machine learning. WHAT YOU'LL DO Build and scale core backend services and platforms that power generative AI applications and data infrastructure used across the firm’s investment workflows Design and implement high-throughput, low-latency data pipelines to ingest, normalize, and serve both structured and unstructured data Develop robust APIs and microservices to support model inference, feature serving, and downstream applications Integrate generative AI tools and model-serving workflows into production, including embedding stores, retrieval components, and fine-tuning pipelines Optimize system performance, cost, and reliability through profiling, capacity planning, and architectural improvements Implement automated testing, continuous delivery pipelines, monitoring, and incident response practices to maintain production health Partner with data scientists, AI engineers, product owners, and operations to translate models and prototypes into scalable, production-grade solutions Mentor engineers, lead code reviews, and establish engineering best practices for maintainability, security, and observability Own end-to-end delivery, operational runbooks, and metrics-driven measurement of feature impact and system reliability WHAT'S REQUIRED Bachelor’s degree in computer science, software engineering, or a related technical field Minimum 5+ years of professional experience building backend systems and production services Demonstrated experience designing and operating large-scale data engineering pipelines

"The job purpose of a Cluster Manager - Diffusion in cell process within solar manufacturing is to accelerate the adoption and integration of advanced cell processing technologies among solar companies. This role involves strategizing, coordinating collaborations, managing resources efficiently, and advocating for policies that support innovation and industry growth. The goal is to enhance operational efficiency, competitiveness, and sustainability within the solar manufacturing sector. Design DOEs for emitter layer, Junction performance enhancement, ECV profiling. Circulate within team and complete tast within speacific time interval Source: Adani Group | Job ID: 57353