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AI / ML Architect (Agentic AI, GenAI)
Transnational AI Private LimitedJamnagar, IN9 days ago
Job descriptionDevelop 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. 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. 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 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. 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
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
Cloud-Native & Serverless Deployment (AWS)
Data Engineering & Database Integration
Testing, Monitoring & Documentation
Qualification & Skills
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