Senior MLOps Engineer

Genesys is looking for an experienced Senior MLOps Engineer to build, deploy, and support scalable

machine learning and GenAI platforms in production environments.

Key Responsibilities

Build and manage ML infrastructure using AWS, Azure, Kubernetes, Docker, and Terraform.

Develop and maintain ML pipelines, CI/CD workflows, model deployment, versioning, and

automated retraining.

Manage model lifecycle using MLflow, SageMaker, Azure Machine Learning, Airflow, and

Kubeflow.

Deploy scalable inference services using FastAPI, SageMaker Endpoints, and Azure ML

Endpoints.

Implement model monitoring, drift detection, observability, alerting, and production

reliability.

Support LLMOps, RAG, Amazon Bedrock, Azure OpenAI, LangChain, and LLM evaluation.

Work with engineering, data science, security, and DevOps teams to improve ML platform

reliability and deployment efficiency.

Required Skills

Python, AWS, Azure, SageMaker, Azure ML, Kubernetes, Docker, Terraform, MLflow, Airflow,

Kubeflow, GitHub Actions, Jenkins, FastAPI, Prometheus, Grafana, CI/CD, MLOps, LLMOps, RAG, and

Model Monitoring.