Senior ML/AI Software Engineer
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The role
Lead the design, optimization, and deployment of scalable automation using LLMs and generative AI in a cloud-native environment.
Build and operate ML-driven microservices with Python/Java, Kubernetes, and Terraform, ensuring robustness and cost-efficiency.
Architect AWS workflows (EKS/ECS, Kinesis, Lambda, DynamoDB) and vector-db powered retrieval for multi-modal data.
Champion MLOps practices, CI/CD, observability, and disaster recovery through on-call responsibilities and monitoring.
Collaborate with DevOps, data science, and data engineering to deliver automated solutions that accelerate innovation.
Requirements include 6+ years in ML/back-end, proficiency in Java and Python, and hands-on experience with LLMs and distributed systems.
Build and operate ML-driven microservices with Python/Java, Kubernetes, and Terraform, ensuring robustness and cost-efficiency.
Architect AWS workflows (EKS/ECS, Kinesis, Lambda, DynamoDB) and vector-db powered retrieval for multi-modal data.
Champion MLOps practices, CI/CD, observability, and disaster recovery through on-call responsibilities and monitoring.
Collaborate with DevOps, data science, and data engineering to deliver automated solutions that accelerate innovation.
Requirements include 6+ years in ML/back-end, proficiency in Java and Python, and hands-on experience with LLMs and distributed systems.
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