Shory is revolutionizing the Insurtech market by using technology to empower customers and create trust around their insurance needs. We are seeking a seasoned Machine Learning Engineer to join our AI team in Abu Dhabi. In this role, you will help design and build the technical backbone of intelligent products, developing scalable, cloud-native systems that support machine learning workflows.
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The ideal candidate will have a strong foundation in software engineering and experience in GenAI integration (e.g., OpenAI, AWS Bedrock) or MLOps. You will collaborate with 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) using LangChain, vector databases, and GenAI providers.
- 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 with a focus on building and deploying production-grade services.
- Proven experience with Python (FastAPI, Django), SQL, and cloud-native architecture (AWS or Azure).
- Hands-on experience with tools such as Kafka, Spark, Airflow, Redis, Elasticsearch, and container orchestration (K8s).
- Experience with GenAI tools including LangChain, RAG systems, and Bedrock/OpenAI APIs.
- Solid understanding of CI/CD, Infrastructure as Code (Terraform, Helm), and monitoring (Prometheus, Grafana).
- Experience deploying in cloud environments (EC2, Lambda, S3, RDS, EKS/ECS, etc.).
Work Conditions: On-site, Full-time
Language Requirements: English proficiency is assumed, but not explicitly stated.
Note: This role requires relocation to Abu Dhabi, UAE.
