Key Responsibilities System Architecture & Event-Driven Design • Design and implement event-driven architectures using Apache Kafka to orchestrate distributed microservices and streaming pipelines. • Define scalable message schemas (e.g., JSON/Avro), data contracts, and versioning strategies to support AI-powered services. • Architect hybrid event + request-response systems to balance real-time streaming and synchronous business logic. Backend & AI/ML Integration • Develop Python-based microservices using FastAPI, enabling both standard business logic and AI/ML model inference endpoints. • Collaborate with AI/ML teams to operationalize ML models (e.g., classification, recommendation, anomaly detection) via REST APIs, batch processors, or event consumers. • Integrate model-serving platforms such as SageMaker, MLflow, or custom Flask/ONNX-based services. Cloud-Native & Serverless Deployment (AWS) • Design and deploy cloud-native applications using AWS Lambda, API Gateway, S3, CloudWatch, and optionally SageMaker or Fargate. • Build AI/ML-aware pipelines that automate retraining, inference triggers, or model selection based on data events. • Implement autoscaling, monitoring, and alerting for high-throughput AI services in production. Data Engineering & Database Integration • Ingest and manage high-volume structured and unstructured data across MySQL, PostgreSQL, and MongoDB. • Enable AI/ML feedback loops by capturing usage signals, predictions, and outcomes via event streaming. • Support data versioning, feature store integration, and caching strategies for efficient ML model input handling. Testing, Monitoring & Documentation • Write unit, integration, and end-to-end tests for both standard services and AI/ML pipelines. • Implement tracing and observability for AI/ML inference latency, success/failure rates, and data drift. • Document ML integration patterns, input/output schema, service contracts, and fallback logic for AI systems. Preferred Qualifications • 6+ years of backend software development experience with 2+ years in AI/ML integration or MLOps. • Strong experience in productionizing ML models for classification, regression, or NLP use cases. • Experience with streaming data pipelines and real-time decision systems. • AWS Certifications (Developer Associate, Machine Learning Specialty) are a plus. • Exposure to data versioning tools (e.g., DVC), feature stores, or vector databases is advantageous.
About the Role We are seeking an experienced AWS Cloud Architect with deep expertise in event-driven solutions and multi-account cloud strategy. The ideal candidate will design and implement scalable, secure, and cost-optimized AWS architectures that support real-time workloads, multiple projects, and organizational governance. This role requires both hands-on technical expertise and strategic vision to align cloud adoption with business priorities. Key Responsibilities Event-Driven Architecture Architect and deliver event-driven systems leveraging AWS Event Bridge, SNS, SQS, Kinesis, Lambda, and Step Functions. Apply event sourcing, CQRS, and pub/sub patterns to build scalable, decoupled, and resilient systems. Develop real-time data pipelines for IoT, AI/ML, analytics, and transactional applications. Cloud Strategy & Governance Define and manage the AWS multi-account strategy using AWS Organizations, Control Tower, and Service Control Policies (SCPs). Establish account structures for dev/test, production, and shared services. Provide guidance on multi-project management under single AWS accounts through IAM, VPC segmentation, and tagging policies. Ensure alignment of cloud adoption with organizational governance and compliance frameworks. Cost Optimization Implement cost management practices using AWS Cost Explorer, Budgets and Trusted Advisor. Create tagging standards and cost allocation models across projects and departments. Optimize resources via autoscaling, right-sizing, spot instances, and savings plans. Establish chargeback/showback models for financial transparency and accountability. Security & Compliance Enforce least-privilege IAM access, SCPs, and automated guardrails. Centralize logging and monitoring (CloudTrail, GuardDuty, Security Hub). Ensure compliance with industry standards (PCI DSS, HIPAA, SOC 2, GDPR). Design secure event flows with encryption, key rotation, and monitoring. Collaboration & Leadership Partner with engineering, product, and operations teams to drive cloud-first, event-driven adoption. Lead POCs, reference architectures, and innovation initiatives for new event-driven technologies. Train and mentor teams on event-driven principles, multi-account best practices, and FinOps awareness. Act as a cloud evangelist, aligning stakeholders around long-term AWS strategy. Qualifications Required Skills Strong expertise in AWS Event-Driven Services (EventBridge, SNS, SQS, Kinesis, Lambda, Step Functions). Proven experience with AWS multi-account management (Organizations, Control Tower, SCPs, IAM). Solid knowledge of cost optimization strategies (tagging, chargeback/showback, reserved/spot instances). Proficiency in Infrastructure as Code (Terraform, Cloud Formation, AWS CDK). Deep understanding of security, networking, and compliance in AWS environments. Strong communication and leadership skills with ability to engage both technical and executive stakeholders. Preferred Skills Experience with Kafka/MSK or other event-streaming platforms. Familiarity with FinOps practices and cloud economics. Background in enterprise-scale migrations to event-driven architectures. Certifications (Preferred) AWS Certified Solutions Architect – Professional. AWS Certified DevOps Engineer – Professional. AWS Certified Advanced Networking – Specialty. FinOps Certified Practitioner (bonus). Experience 7+ years in IT, with 4+ years in AWS cloud architecture. Proven experience delivering enterprise-scale event-driven solutions. Hands-on background in multi-account strategy, governance, and cost optimization.
About Us: Transnational AI is a forward-thinking technology company focused on building intelligent, scalable, and intuitive digital ecosystems for global enterprises. Our mission is to reimagine traditional business operations through AI-driven innovation, seamless user experiences, and deep integration across verticals like insurance and HRIS. Job Summary: We are seeking a seasoned UI/UX Architect to lead the design vision and user experience strategy for our real-time, AI-powered SaaS platforms. The ideal candidate will have a deep understanding of enterprise-grade CRM systems, design systems, and real-time user interfaces. This role will be pivotal in ensuring design consistency, user satisfaction, and the scalability of our applications across web and mobile platforms. Key Responsibilities: 1. Design Strategy & Architecture - Define and drive the end-to-end UX architecture for large-scale SaaS and CRM platforms. - Create and maintain comprehensive design systems and style guides to ensure consistency across products. - Translate product vision into intuitive, scalable, and accessible experiences for diverse user personas in large enterprises. 2. Cross-functional Collaboration - Collaborate closely with Product Owners, Business Analysts, Engineers, and Data Scientists to translate business needs and technical requirements into seamless interfaces. - Work with Agile teams to iterate designs based on user feedback and performance analytics. 3. Real-Time Application Design - Architect UX patterns for real-time applications including dashboards, alerts, and dynamic user interactions. - Optimize interfaces for performance and responsiveness across various devices and usage environments. 4. Research & Usability - Conduct user research, persona development, and usability testing with enterprise stakeholders and end users. - Integrate findings into wireframes, prototypes, and visual design assets using tools like Figma, Adobe XD, or Sketch. Required Qualifications: - Experience: 10+ years in UI/UX design, with at least 5 years in an architect or leadership role. - Domain Expertise: Strong portfolio in real-time web applications, SaaS platforms, CRM systems, and enterprise applications. - Tools & Frameworks: Proficiency in Figma, Adobe Creative Suite, HTML/CSS, JavaScript frameworks (React/Angular), and prototyping tools. - Design Systems: Proven ability to design and scale component libraries and systems for reuse across product lines. - Methodologies: Agile/Scrum, Human-Centered Design (HCD), and Design Thinking practices. - Communication: Excellent verbal and written communication with the ability to present design rationale to senior leadership. Preferred Qualifications: - Experience with AI/ML-enabled user experiences or data-driven design. - Familiarity with B2B marketplace or insurance/healthcare CRM solutions. - Knowledge of accessibility standards (WCAG), responsive design, and localization.
Job Summary Transnational AI Private Limited is a deep-tech organization building intelligent digital platforms that combine modern event-driven architecture, cloud-native systems, and AI/ML-powered intelligence. We are hiring a senior Technical Architect to design and lead the backend development and system design for real-time, event-driven microservices that seamlessly integrate AI/ML capabilities. You will work with cutting-edge frameworks such as FastAPI, Kafka, AWS Lambda, and collaborate with data scientists to embed ML models into production-grade systems. Key Responsibilities 1. System Architecture & Event-Driven Design • Design and implement event-driven architectures using Apache Kafka to orchestrate distributed microservices and streaming pipelines. • Define scalable message schemas (e.g., JSON/Avro), data contracts, and versioning strategies to support AI-powered services. • Architect hybrid event + request-response systems to balance real-time streaming and synchronous business logic. 2. Backend & AI/ML Integration • Develop Python-based microservices using FastAPI, enabling both standard business logic and AI/ML model inference endpoints. • Collaborate with AI/ML teams to operationalize ML models (e.g., classification, recommendation, anomaly detection) via REST APIs, batch processors, or event consumers. • Integrate model-serving platforms such as SageMaker, MLflow, or custom Flask/ONNX-based services. 3. Cloud-Native & Serverless Deployment (AWS) • Design and deploy cloud-native applications using AWS Lambda, API Gateway, S3, CloudWatch, and optionally SageMaker or Fargate. • Build AI/ML-aware pipelines that automate retraining, inference triggers, or model selection based on data events. • Implement autoscaling, monitoring, and alerting for high-throughput AI services in production. 4. Data Engineering & Database Integration • Ingest and manage high-volume structured and unstructured data across MySQL, PostgreSQL, and MongoDB. • Enable AI/ML feedback loops by capturing usage signals, predictions, and outcomes via event streaming. • Support data versioning, feature store integration, and caching strategies for efficient ML model input handling. 5. Testing, Monitoring & Documentation • Write unit, integration, and end-to-end tests for both standard services and AI/ML pipelines. • Implement tracing and observability for AI/ML inference latency, success/failure rates, and data drift. • Document ML integration patterns, input/output schema, service contracts, and fallback logic for AI systems. Preferred Qualifications • 7+ years of backend software development experience with 2+ years in AI/ML integration or MLOps. • Strong experience in productionizing ML models for classification, regression, or NLP use cases. • Experience with streaming data pipelines and real-time decision systems. • AWS Certifications (Developer Associate, Machine Learning Specialty) are a plus. • Exposure to data versioning tools (e.g., DVC), feature stores, or vector databases is advantageous. Work Culture • Join a mission-driven team delivering real-world impact through AI and automation. • Collaborate with architects, ML engineers, data scientists, and product managers. • Experience a flat hierarchy, innovation-friendly environment, and rapid career advancement.
About Transnational AI Private Limited Transnational AI Pvt. Ltd. is a fast-growing technology company specializing in Artificial Intelligence, Machine Learning, and data-driven innovation. We are committed to building cutting-edge solutions that transform industries and improve lives. Our team is passionate about excellence, innovation, and people — the heart of our success. Job Summary The HR Executive (Recruitment) will play a pivotal role in attracting, sourcing, and hiring top talent for Transnational AI. This position requires a motivated and detail-oriented individual who can manage the end-to-end recruitment process while supporting the company’s HR initiatives and maintaining a strong employer brand. Key Responsibilities Manage the full-cycle recruitment process, from job posting and candidate sourcing to onboarding. Partner with department heads to understand current and future hiring needs. Source candidates through job portals, LinkedIn, employee referrals, and other innovative channels. Screen resumes, conduct initial interviews, and coordinate technical and HR rounds. Maintain and update candidate databases and recruitment tracking reports. Support in drafting and publishing job descriptions for various roles. Assist in creating a strong employer brand through social media and career events. Handle offer management, background verification, and onboarding formalities. Work closely with HR leadership to ensure smooth workforce planning and compliance with company policies. Participate in HR process improvements and initiatives to enhance the recruitment experience. Required Qualifications & Skills Bachelor’s degree in Human Resources, Business Administration, or a related field (MBA/PGDM preferred). 2–5 years of proven experience in recruitment (preferably in IT, AI, or technology domains). Strong understanding of recruitment tools and platforms (LinkedIn Recruiter, Naukri, Indeed, etc.). Excellent communication and interpersonal skills. Ability to manage multiple recruitment pipelines simultaneously. Strong organizational and problem-solving skills. A proactive attitude with the ability to work independently and collaboratively.
As a senior Technical Architect at Transnational AI Private Limited, your primary role will be to design and lead the backend development and system design for real-time, event-driven microservices integrating AI/ML capabilities. You will be working with cutting-edge frameworks such as FastAPI, Kafka, AWS Lambda, and collaborating with data scientists to embed ML models into production-grade systems. Key Responsibilities: - Design and implement event-driven architectures using Apache Kafka to orchestrate distributed microservices and streaming pipelines. - Define scalable message schemas (e.g., JSON/Avro), data contracts, and versioning strategies to support AI-powered services. - Architect hybrid event + request-response systems to balance real-time streaming and synchronous business logic. - Develop Python-based microservices using FastAPI, enabling standard business logic and AI/ML model inference endpoints. - Collaborate with AI/ML teams to operationalize ML models via REST APIs, batch processors, or event consumers. - Integrate model-serving platforms such as SageMaker, MLflow, or custom Flask/ONNX-based services. - Design and deploy cloud-native applications using AWS Lambda, API Gateway, S3, CloudWatch, and optionally SageMaker or Fargate. - Build AI/ML-aware pipelines for automating retraining, inference triggers, or model selection based on data events. - Implement autoscaling, monitoring, and alerting for high-throughput AI services in production. - Ingest and manage high-volume structured and unstructured data across MySQL, PostgreSQL, and MongoDB. - Enable AI/ML feedback loops by capturing usage signals, predictions, and outcomes via event streaming. - Support data versioning, feature store integration, and caching strategies for efficient ML model input handling. - Write unit, integration, and end-to-end tests for standard services and AI/ML pipelines. - Implement tracing and observability for AI/ML inference latency, success/failure rates, and data drift. - Document ML integration patterns, input/output schema, service contracts, and fallback logic for AI systems. Preferred Qualifications: - 7+ years of backend software development experience with 2+ years in AI/ML integration or MLOps. - Strong experience in productionizing ML models for classification, regression, or NLP use cases. - Experience with streaming data pipelines and real-time decision systems. - AWS Certifications (Developer Associate, Machine Learning Specialty) are a plus. - Exposure to data versioning tools (e.g., DVC), feature stores, or vector databases is advantageous. If you join Transnational AI Private Limited, you will work in a mission-driven team delivering real-world impact through AI and automation. You will collaborate with architects, ML engineers, data scientists, and product managers in a flat hierarchy, innovation-friendly environment, and experience rapid career advancement.,
About the Company At Transnational AI Private Limited, we are redefining the future of intelligent systems. Our mission is to build scalable, secure, and autonomous AI platforms that empower enterprises to thrive in a data-first world. As part of our growth, we're looking for an experienced AWS DevOps Architect to lead the design and optimization of our cloud infrastructure and DevOps strategies. About the Role As an AWS DevOps Engineer/Architect, you will be responsible for architecting robust cloud infrastructure, driving DevOps automation strategies, and ensuring operational excellence across environments. You'll work closely with cross-functional teams, including engineering, data science, security, and product, to deliver scalable, secure, and cost-effective solutions that power our AI platforms. Responsibilities Architect and design scalable, highly available, and secure cloud infrastructure on AWS for AI-driven applications and data platforms Lead the end-to-end DevOps strategy, including CI/CD pipelines, IaC, monitoring, and incident response Define and implement infrastructure as code using Terraform, AWS CloudFormation, or AWS CDK Guide containerization and orchestration efforts (EKS, ECS, Docker) for microservices and model deployment Collaborate with stakeholders to align infrastructure and deployment design with business goals and SLAs Set up monitoring, logging, and alerting systems using CloudWatch, ELK, Prometheus, Grafana, etc. Implement security best practices, governance policies, and compliance requirements (e.g., IAM, encryption, auditing) Optimize AWS costs, recommend reserved instances or savings plans, and monitor usage Lead incident response efforts, root cause analysis, and postmortem documentation Qualifications 6+ years of experience in DevOps, Cloud Architecture, or Site Reliability Engineering 3+ years of proven experience in designing and deploying AWS solutions at scale Expertise in CI/CD tools (GitLab CI, Code Pipeline, etc.) Strong command over Terraform, AWS CDK, or CloudFormation Deep knowledge of networking, security, VPCs, IAM, load balancing, and monitoring in AWS Hands-on experience with containers and orchestration tools (EKS, Kubernetes, ECS) Strong scripting skills (Python, Bash, or Shell) AWS certification (e.g., AWS Certified DevOps Engineer – Professional or Solutions Architect – Professional) Experience with Agile/DevOps culture and working in fast-paced product environments Preferred Skills Experience in AI/ML platform architecture, MLOps, or data pipelines Familiarity with multi-cloud environments or hybrid infrastructure Exposure to compliance and security frameworks like ISO 27001, SOC 2, HIPAA Excellent leadership, communication, and stakeholder management skills
About the Company Transnational AI Private Limited is a fast-growing technology company specializing in AI-driven solutions, cloud-native applications, and digital transformation. Our mission is to build intelligent, scalable products that empower global businesses. We value innovation, ownership, and excellence. Role Overview We are seeking a skilled Frontend Developer with expertise in React and TypeScript to join our product engineering team. You will be responsible for building high-performance, user-centric web applications and collaborating with cross-functional teams to deliver seamless user experiences. Key Responsibilities Develop, test, and maintain scalable, responsive user interfaces using React , TypeScript , HTML5 , and CSS3 . Implement reusable UI components and front-end libraries. Work closely with product managers, UX designers, and backend engineers to translate requirements into performant features. Optimize applications for speed, accessibility, and cross-browser compatibility . Integrate RESTful and/or GraphQL APIs. Participate in code reviews, provide constructive feedback, and ensure high code quality. Contribute to front-end architecture decisions, tooling, and development best practices. Troubleshoot UI problems and implement robust solutions. Required Skills & Qualifications Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience). 5–8+ years of hands-on experience in modern frontend development. Strong proficiency in React (Hooks, Context, React Router) . Strong experience with TypeScript in production environments. Experience with state management (Redux, Zustand, Recoil, or Context API). Solid understanding of JavaScript (ES6+), HTML, and CSS/SASS . Experience with UI testing frameworks (Jest, React Testing Library). Familiarity with build tools like Webpack, Vite, or Parcel . Knowledge of Git, CI/CD workflows, and agile development practices. Preferred / Bonus Skills Experience with Next.js or server-side rendering. Familiarity with GraphQL , Apollo Client, or Relay. Knowledge of UI/UX principles and design systems (Material UI, Tailwind, Chakra, Ant Design). Experience working with micro-frontends . Exposure to cloud platforms (AWS, Azure, GCP). Understanding of accessibility standards ( WCAG ). Soft Skills Strong communication and collaboration abilities. Problem-solving mindset with attention to detail. Ability to work in a fast-paced, innovative environment. Ownership and accountability towards tasks and deliverables.
Company Profile Transnational AI Private Limited is a forward-looking technology company focused on delivering intelligent, scalable, and high-impact AI-driven solutions. We work across industries to help enterprises accelerate digital transformation, optimize operations, and unlock actionable insights through data and automation. Role Overview We are seeking a dynamic Business Analyst with 2–4 years of experience to bridge business needs with technical solutions. The ideal candidate will possess strong analytical capability, excellent communication skills, and a solid understanding of AI, automation, and digital transformation environments. Key Responsibilities 1. Requirement Gathering & Analysis Collaborate with stakeholders, SMEs, and customers to define business needs and translate them into functional and technical requirements. Conduct workshops, interviews, and discussions to capture detailed business processes. Analyze current workflows and identify gaps, challenges, and opportunities for AI-driven optimization. 2. Documentation & Communication Prepare BRDs, FRDs, user stories, process maps, and other requirement documents. Create use-case documentation and feature specifications for development teams. Ensure alignment between business expectations and technical delivery. 3. Data & Process Analysis Perform data analysis to identify patterns, trends, and improvement opportunities. Evaluate the feasibility of AI and automation solutions for business problems. Work with data engineers, ML teams, and product owners to refine solution design. 4. Project Coordination Assist in sprint planning, backlog grooming, and cross-functional coordination. Track project progress and ensure timely delivery of milestones. Support UAT planning, test case preparation, and defect resolution. 5. Stakeholder Management Serve as a point of contact between business users and technical teams. Communicate project status, risks, and dependencies proactively. Build strong relationships with internal teams and external clients. Required Skills Technical & Analytical Skills Strong understanding of business analysis frameworks and SDLC/Agile methodologies. Experience working on AI, automation, data analytics, or enterprise digital products (good to have). Proficiency in tools such as JIRA, Confluence, MS Excel, Power BI/Tableau (any). Ability to interpret data and generate insights. Soft Skills Excellent written and verbal communication skills. Strong problem-solving and critical thinking abilities. Ability to work in a fast-paced, dynamic environment. High ownership mentality and attention to detail. Education Bachelor’s degree in Engineering, Computer Science, Business, or related fields. Certification in Business Analysis (CBAP, ECBA, etc.) is a plus.
About the Company Transnational AI Private Limited is a deep-tech organization building intelligent digital platforms that combine modern event-driven architecture, cloud-native systems, and AI/ML-powered intelligence. Job Role We are hiring a senior Technical Architect to design and lead the backend development and system design for real-time, event-driven microservices that seamlessly integrate AI/ML capabilities. You will work with cutting-edge frameworks such as FastAPI, Kafka, AWS Lambda, and collaborate with data scientists to embed ML models into production-grade systems. Responsibilities System Architecture & Event-Driven Design Design and implement event-driven architectures using Apache Kafka to orchestrate distributed microservices and streaming pipelines. Define scalable message schemas (e.g., JSON/Avro), data contracts, and versioning strategies to support AI-powered services. Architect hybrid event + request-response systems to balance real-time streaming and synchronous business logic. Backend & AI/ML Integration Develop Python-based microservices using FastAPI, enabling both standard business logic and AI/ML model inference endpoints. Collaborate with AI/ML teams to operationalize ML models (e.g., classification, recommendation, anomaly detection) via REST APIs, batch processors, or event consumers. Integrate model-serving platforms such as SageMaker, MLflow, or custom Flask/ONNX-based services. Cloud-Native & Serverless Deployment (AWS) Design and deploy cloud-native applications using AWS Lambda, API Gateway, S3, CloudWatch, and optionally SageMaker or Fargate. Build AI/ML-aware pipelines that automate retraining, inference triggers, or model selection based on data events. Implement autoscaling, monitoring, and alerting for high-throughput AI services in production. Data Engineering & Database Integration Ingest and manage high-volume structured and unstructured data across MySQL, PostgreSQL, and MongoDB. Enable AI/ML feedback loops by capturing usage signals, predictions, and outcomes via event streaming. Support data versioning, feature store integration, and caching strategies for efficient ML model input handling. Testing, Monitoring & Documentation Write unit, integration, and end-to-end tests for both standard services and AI/ML pipelines. Implement tracing and observability for AI/ML inference latency, success/failure rates, and data drift. Document ML integration patterns, input/output schema, service contracts, and fallback logic for AI systems. Qualification & Skills 10+ years of backend software development experience with 4+ years in AI/ML integration or MLOps. Strong experience in productionizing ML models for classification, regression, or NLP use cases. Experience with streaming data pipelines and real-time decision systems. AWS Certifications (Developer Associate, Machine Learning Specialty) are a plus. Exposure to data versioning tools (e.g., DVC), feature stores, or vector databases is advantageous.
About the Company At Transnational AI Private Limited, we are redefining the future of intelligent systems. Our mission is to build scalable, secure, and autonomous AI platforms that empower enterprises to thrive in a data-first world. As part of our growth, we're looking for an experienced DevOps Engineer/ Architect to lead the design and optimization of our cloud infrastructure and DevOps strategies. About the Role As a DevOps Engineer/Architect, you will be responsible for architecting robust cloud infrastructure, driving DevOps automation strategies, and ensuring operational excellence across environments. You'll work closely with cross-functional teams, including engineering, data science, security, and product, to deliver scalable, secure, and cost-effective solutions that power our AI platforms. Responsibilities Architect and design scalable, highly available, and secure cloud infrastructure on AWS for AI-driven applications and data platforms Lead the end-to-end DevOps strategy, including CI/CD pipelines, IaC, monitoring, and incident response Define and implement infrastructure as code using Terraform, AWS CloudFormation, or AWS CDK Guide containerization and orchestration efforts (EKS, ECS, Docker) for microservices and model deployment Collaborate with stakeholders to align infrastructure and deployment design with business goals and SLAs Set up monitoring, logging, and alerting systems using CloudWatch, ELK, Prometheus, Grafana, etc. Implement security best practices, governance policies, and compliance requirements (e.g., IAM, encryption, auditing) Optimize AWS costs, recommend reserved instances or savings plans, and monitor usage Lead incident response efforts, root cause analysis, and postmortem documentation Qualifications 7+ years of experience in DevOps, Cloud Architecture, or Site Reliability Engineering 3+ years of proven experience in designing and deploying AWS solutions at scale Expertise in CI/CD tools (GitLab CI, Code Pipeline, etc.) Strong command over Terraform, AWS CDK, or CloudFormation Deep knowledge of networking, security, VPCs, IAM, load balancing, and monitoring in AWS Hands-on experience with containers and orchestration tools (EKS, Kubernetes, ECS) Strong scripting skills (Python, Bash, or Shell) AWS certification (e.g., AWS Certified DevOps Engineer – Professional or Solutions Architect – Professional) Experience with Agile/DevOps culture and working in fast-paced product environments Preferred Skills Experience in AI/ML platform architecture, MLOps, or data pipelines Familiarity with multi-cloud environments or hybrid infrastructure Exposure to compliance and security frameworks like ISO 27001, SOC 2, HIPAA Excellent leadership, communication, and stakeholder management skills
As a seasoned UI/UX Architect/Designer at Transnational AI, your role will be crucial in leading the design vision and user experience strategy for real-time, AI-powered SaaS platforms. You will be responsible for defining and driving the end-to-end UX architecture, creating comprehensive design systems, and ensuring design consistency across web and mobile platforms. Your collaboration with cross-functional teams and your expertise in architecting UX patterns for real-time applications will play a key role in optimizing interfaces for performance and responsiveness. **Responsibilities:** - Define and drive the end-to-end UX architecture for large-scale SaaS and CRM platforms. - Create and maintain comprehensive design systems and style guides for consistency. - Translate product vision into intuitive, scalable, and accessible experiences. - Collaborate with Product Owners, Business Analysts, Engineers, and Data Scientists. - Architect UX patterns for real-time applications like dashboards and alerts. - Optimize interfaces for performance and responsiveness. - Conduct user research, persona development, and usability testing. - Integrate research findings into wireframes, prototypes, and visual design assets. **Qualifications:** - Experience: 10+ years in UI/UX design, with at least 5 years in an architect or leadership role. - Domain Expertise: Strong portfolio in real-time web applications, SaaS platforms, CRM systems, and enterprise applications. - Tools & Frameworks: Proficiency in Figma, Adobe Creative Suite, HTML/CSS, JavaScript frameworks (React/Angular), and prototyping tools. - Design Systems: Proven ability to design and scale component libraries and systems for reuse. - Methodologies: Agile/Scrum, Human-Centered Design (HCD), and Design Thinking practices. - Communication: Excellent verbal and written communication skills. As a preferred skill, experience with AI/ML-enabled user experiences or data-driven design would be beneficial in this role at Transnational AI.,
About the Company Transnational AI Private Limited is a fast-growing technology company specializing in AI-driven solutions, cloud-native applications, and digital transformation. Our mission is to build intelligent, scalable products that empower global businesses. We value innovation, ownership, and excellence. Role Overview We are seeking a skilled Frontend Developer with expertise in React and TypeScript to join our product engineering team. You will be responsible for building high-performance, user-centric web applications and collaborating with cross-functional teams to deliver seamless user experiences. Key Responsibilities Develop, test, and maintain scalable, responsive user interfaces using React , TypeScript , HTML5 , and CSS3 . Implement reusable UI components and front-end libraries. Work closely with product managers, UX designers, and backend engineers to translate requirements into performant features. Optimize applications for speed, accessibility, and cross-browser compatibility . Integrate RESTful and/or GraphQL APIs. Participate in code reviews, provide constructive feedback, and ensure high code quality. Contribute to front-end architecture decisions, tooling, and development best practices. Troubleshoot UI problems and implement robust solutions. Required Skills & Qualifications Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience). 5–8+ years of hands-on experience in modern frontend development. Strong proficiency in React (Hooks, Context, React Router) . Strong experience with TypeScript in production environments. Experience with state management (Redux, Zustand, Recoil, or Context API). Solid understanding of JavaScript (ES6+), HTML, and CSS/SASS . Experience with UI testing frameworks (Jest, React Testing Library). Familiarity with build tools like Webpack, Vite, or Parcel . Knowledge of Git, CI/CD workflows, and agile development practices. Preferred / Bonus Skills Experience with Next.js or server-side rendering. Familiarity with GraphQL , Apollo Client, or Relay. Knowledge of UI/UX principles and design systems (Material UI, Tailwind, Chakra, Ant Design). Experience working with micro-frontends . Exposure to cloud platforms (AWS, Azure, GCP). Understanding of accessibility standards ( WCAG ). Soft Skills Strong communication and collaboration abilities. Problem-solving mindset with attention to detail. Ability to work in a fast-paced, innovative environment. Ownership and accountability towards tasks and deliverables.
About the Company Transnational AI Private Limited is a deep-tech organization building intelligent digital platforms that combine modern event-driven architecture, cloud-native systems, and AI/ML-powered intelligence. Job Role We are hiring AI Engineer to design and lead the backend development and system design for real-time, event-driven microservices that seamlessly integrate AI/ML capabilities. You will work with cutting-edge frameworks such as FastAPI, Kafka, AWS Lambda, and collaborate with data scientists to embed ML models into production-grade systems. Responsibilities System Architecture & Event-Driven Design Design and implement event-driven architectures using Apache Kafka to orchestrate distributed microservices and streaming pipelines. Define scalable message schemas (e.g., JSON/Avro), data contracts, and versioning strategies to support AI-powered services. Architect hybrid event + request-response systems to balance real-time streaming and synchronous business logic. Backend & AI/ML Integration Develop Python-based microservices using FastAPI, enabling both standard business logic and AI/ML model inference endpoints. Collaborate with AI/ML teams to operationalize ML models (e.g., classification, recommendation, anomaly detection) via REST APIs, batch processors, or event consumers. Integrate model-serving platforms such as SageMaker, MLflow, or custom Flask/ONNX-based services. Cloud-Native & Serverless Deployment (AWS) Design and deploy cloud-native applications using AWS Lambda, API Gateway, S3, CloudWatch, and optionally SageMaker or Fargate. Build AI/ML-aware pipelines that automate retraining, inference triggers, or model selection based on data events. Implement autoscaling, monitoring, and alerting for high-throughput AI services in production. Data Engineering & Database Integration Ingest and manage high-volume structured and unstructured data across MySQL, PostgreSQL, and MongoDB. Enable AI/ML feedback loops by capturing usage signals, predictions, and outcomes via event streaming. Support data versioning, feature store integration, and caching strategies for efficient ML model input handling. Testing, Monitoring & Documentation Write unit, integration, and end-to-end tests for both standard services and AI/ML pipelines. Implement tracing and observability for AI/ML inference latency, success/failure rates, and data drift. Document ML integration patterns, input/output schema, service contracts, and fallback logic for AI systems. Qualification & Skills 7+ years of backend software development experience with 4+ years in AI/ML integration or MLOps. Strong experience in productionizing ML models for classification, regression, or NLP use cases. Experience with streaming data pipelines and real-time decision systems. AWS Certifications (Developer Associate, Machine Learning Specialty) are a plus. Exposure to data versioning tools (e.g., DVC), feature stores, or vector databases is advantageous.
About Transnational AI Transnational AI is an innovative technology company focused on delivering AI-driven and digital transformation solutions. We are expanding our talent acquisition team and are looking for an experienced IT Recruiter to support our growing technology needs. Key Responsibilities: Lead end-to-end IT recruitment for technical roles including Software Engineers, Data Scientists, AI/ML Engineers, Cloud, and DevOps professionals Partner with hiring managers to understand role requirements and hiring priorities Source candidates through LinkedIn, job portals, referrals, and networking Screen, interview, and assess candidates for technical and cultural fit Manage the recruitment lifecycle from sourcing to offer negotiation and onboarding support Maintain accurate candidate data and recruitment metrics Build strong talent pipelines for current and future hiring needs Required Qualifications: 5+ years of experience in IT/Technical recruitment Strong understanding of technology roles and skill sets Experience recruiting for product-based or AI/technology companies preferred Excellent communication and stakeholder management skills Ability to work in a fast-paced, on-site environment What We Offer: Opportunity to work with cutting-edge AI technology teams Collaborative and growth-focused work environment Competitive compensation and benefits
AI Digital Promotion & Branding Consultant Location Full-Time(On-site) (Preferred: Experience working with global digital brands and AI-driven platforms) About Transnational AI Transnational AI is a next-generation technology company building intelligent, domain-driven AI platforms across industries such as Insurance, Employment, Finance, Healthcare, and Digital Marketplaces. Our mission is to simplify complex ecosystems through AI-powered exchanges, agents, and automation. Role Overview We are seeking a Digital Promotion & Branding Consultant with hands-on experience in creating, promoting, and scaling digital products through compelling videos, images, and visual storytelling . This role is ideal for a creative professional who understands product marketing, AI-driven platforms, and multi-domain branding , and can translate complex concepts into engaging digital content. You will own the digital branding narrative of Transnational AI products and drive awareness, adoption, and trust through innovative visual campaigns. Key Responsibilities Digital Branding & Promotion Design and execute digital branding strategies for all Transnational AI domain products Build a consistent, modern, and innovative brand identity across platforms Translate AI, marketplace, and enterprise concepts into clear visual stories Video & Visual Content Creation (Hands-On) Create short-form and long-form promotional videos (product demos, explainer videos, reels, ads) Design high-impact digital images , banners, thumbnails, and social creatives Develop motion graphics, AI explainer visuals, and walkthrough videos Edit, optimize, and publish content across channels Product Marketing Enablement Collaborate with product, UX, and AI teams to understand features and roadmaps Create product launch campaigns , feature highlights, and comparison visuals Develop visual storytelling for AI agents, dashboards, workflows, and use cases Digital Channels & Growth Promote content across: Website & landing pages Social media (LinkedIn, X, YouTube, Instagram) Email campaigns & pitch decks Optimize visuals and videos for engagement, reach, and conversion Innovation & Creativity Experiment with AI-based creative tools for video, image, and content generation Introduce new formats such as: Interactive product videos Animated AI workflows Story-based product showcases Continuously evolve branding with emerging digital trends Required Skills & Experience Must-Have Proven hands-on experience in: Digital product promotion Video creation & editing Image design & visual branding Strong portfolio showcasing videos, digital ads, creatives, and product promotions Experience promoting technology, SaaS, AI, or digital platforms Expertise in tools such as: Adobe Creative Suite / Figma / Canva Video tools (Premiere Pro, After Effects, Final Cut, CapCut, etc.) Strong storytelling, design thinking, and visual communication skills Nice-to-Have Experience with AI-based creative tools (image/video generation, automation) Understanding of B2B, B2C, and marketplace platforms Familiarity with product-led growth and startup environments Knowledge of analytics for content performance optimization What We’re Looking For A creative thinker with execution power Someone who can own the full lifecycle : idea → design → publish → optimize Passion for innovation, AI, and future-ready digital branding Ability to work independently while collaborating with cross-functional teams
AI Digital Promotion & Branding Consultant Location Full-Time(On-site) (Preferred: Experience working with global digital brands and AI-driven platforms) About Transnational AI Transnational AI is a next-generation technology company building intelligent, domain-driven AI platforms across industries such as Insurance, Employment, Finance, Healthcare, and Digital Marketplaces. Our mission is to simplify complex ecosystems through AI-powered exchanges, agents, and automation. Role Overview We are seeking a Digital Promotion & Branding Consultant with hands-on experience in creating, promoting, and scaling digital products through compelling videos, images, and visual storytelling . This role is ideal for a creative professional who understands product marketing, AI-driven platforms, and multi-domain branding , and can translate complex concepts into engaging digital content. You will own the digital branding narrative of Transnational AI products and drive awareness, adoption, and trust through innovative visual campaigns. Key Responsibilities Digital Branding & Promotion Design and execute digital branding strategies for all Transnational AI domain products Build a consistent, modern, and innovative brand identity across platforms Translate AI, marketplace, and enterprise concepts into clear visual stories Video & Visual Content Creation (Hands-On) Create short-form and long-form promotional videos (product demos, explainer videos, reels, ads) Design high-impact digital images , banners, thumbnails, and social creatives Develop motion graphics, AI explainer visuals, and walkthrough videos Edit, optimize, and publish content across channels Product Marketing Enablement Collaborate with product, UX, and AI teams to understand features and roadmaps Create product launch campaigns , feature highlights, and comparison visuals Develop visual storytelling for AI agents, dashboards, workflows, and use cases Digital Channels & Growth Promote content across: Website & landing pages Social media (LinkedIn, X, YouTube, Instagram) Email campaigns & pitch decks Optimize visuals and videos for engagement, reach, and conversion Innovation & Creativity Experiment with AI-based creative tools for video, image, and content generation Introduce new formats such as: Interactive product videos Animated AI workflows Story-based product showcases Continuously evolve branding with emerging digital trends Required Skills & Experience Must-Have Proven hands-on experience in: Digital product promotion Video creation & editing Image design & visual branding Strong portfolio showcasing videos, digital ads, creatives, and product promotions Experience promoting technology, SaaS, AI, or digital platforms Expertise in tools such as: Adobe Creative Suite / Figma / Canva Video tools (Premiere Pro, After Effects, Final Cut, CapCut, etc.) Strong storytelling, design thinking, and visual communication skills Nice-to-Have Experience with AI-based creative tools (image/video generation, automation) Understanding of B2B, B2C, and marketplace platforms Familiarity with product-led growth and startup environments Knowledge of analytics for content performance optimization What We’re Looking For A creative thinker with execution power Someone who can own the full lifecycle : idea → design → publish → optimize Passion for innovation, AI, and future-ready digital branding Ability to work independently while collaborating with cross-functional teams