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