Shory is the soft revolution in the Insurtech market. Welcome to a new age where insurance actually empowers its customers. We use technology to serve our customers and create ease of mind and trustworthiness around insurance needs. With Shory, a new time has begun.
We are seeking a seasoned Machine Learning Engineer to join our AI team in Abu Dhabi, UAE, help design and build the technical backbone of intelligent products. You will develop scalable, cloud-native systems supporting machine learning workflows. The ideal candidate has a strong foundation in software engineering, with experience in one or more of the following: GenAI integration (e.g., OpenAI, AWS Bedrock) or MLOps. You will work alongside specialists in ML and data to deliver robust, production-grade AI capabilities.
Responsibilities
- Design and implement secure, cloud-native microservices and APIs using Python for data and AI services.
- Architect LLM-integrated systems (e.g., RAG pipelines) leveraging LangChain, vector databases, and GenAI providers (e.g., AWS Bedrock, OpenAI).
- Automate infrastructure and CI/CD workflows using Docker, Kubernetes, Helm, and Terraform across AWS and/or Azure.
- Develop scalable data pipelines using technologies such as Spark, Kafka, and Airflow to power machine learning workflows.
Requirements:
- Bachelor’s or Master’s degree in Computer Science, Software Engineering or a related field
- 3-5 years of experience in AI/software engineering, or MLOps roles building and deploying production-grade services.
- Proven experience with Python (FastAPI, Django), SQL, and cloud-native architecture (AWS or Azure).
- Hands-on with tools such as Kafka, Spark, Airflow, Redis, Elasticsearch, and container orchestration (K8s).
- Experience with GenAI tools such as LangChain, RAG systems, Bedrock/OpenAI APIs
- Solid grasp of CI/CD, IAC (Terraform, Helm), and monitoring (Prometheus, Grafana)
- Experience deploying in cloud environments with EC2, Lambda, S3, RDS, EKS/ECS, etc.
Note: **This role will be onsite in Abu Dhabi, UAE and requires relocation**
