remote
AI Ops Engineer
AI Engineer
AI Engineer to build and deploy scalable machine learning systems, optimize MLOps pipelines, and drive AI innovation in production environments.
About the role
Key Responsibilities
- Develop and deploy AI/ML models for production environments with a focus on scalability and reliability
- Design and implement MLOps pipelines for model training, versioning, and deployment
- Optimize AI workloads for performance, cost, and resource efficiency
- Collaborate with data science teams to integrate models into applications
- Monitor and maintain AI systems for drift detection and continuous improvement
Requirements
- 5+ years of experience in AI/ML engineering or related fields
- Strong proficiency in Python, TensorFlow, and MLOps tools
- Experience with Kubernetes, Docker, and cloud platforms (AWS/GCP)
- Knowledge of model serving, monitoring, and CI/CD for AI systems
- Problem-solving mindset with a focus on automation and efficiency
Skills
machine learningpythontensorflowkubernetesdockermlops