hybrid
ML/AL Ops Engineer (GenAI)
Generative AI Engineer
Senior AI Engineer to develop and deploy generative AI models with robust MLOps pipelines for scalable production environments.
About the role
Key Responsibilities
- Design, develop, and deploy scalable AI/ML models for generative AI applications
- Implement and maintain MLOps pipelines for model training, versioning, and deployment
- Optimize AI models for performance, latency, and cost efficiency in production environments
- Collaborate with cross-functional teams to integrate AI solutions into existing systems
- Monitor and troubleshoot AI model performance and reliability
- Ensure compliance with data privacy and security standards in AI workflows
Requirements
- 5+ years of experience in AI/ML engineering or related fields
- Proficiency in Python and deep learning frameworks (TensorFlow/PyTorch)
- Hands-on experience with MLOps tools (MLflow, Kubeflow, or similar)
- Strong understanding of generative AI models and their deployment challenges
- Experience with cloud platforms (AWS/GCP/Azure) and containerization (Docker, Kubernetes)
Skills
pythonmachine learningai ml opsgenerative aitensorflowpytorch