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- Strategise plan and deliver MLOps initiatives by liasing with key business stakeholders
- Design develop and deploy complex AI ML solutions on cloud infrastructure using ML engineering
- MLOps workflows tools that can scale in response to changing business and technical requirements
- We are looking for a candidate with substantial hands-on experience in Model Deployment Flask/Docker/Kubernetes, Azure ML, Python, CI/CD knowledge, Shell scripting, and, Understanding of Cognitive Services, Azure functions, and OpenAI.
- Proficient in Model Deployment - Flask/Exposure to Docker/Kubernetes
- Experience working with open-source technologies like Seldon, MLFlow, Feast, K Native, Apache Kafka, etc.
- Experience with CI/CD tools like Jenkins or Github Actions
- Model Deployment Flask/Docker/Kubernetes, Azure ML, Python, CI/CD knowledge, Shell scripting
- Experience working with open-source technologies like Seldon, MLFlow, Feast, K Native, Apache Kafka, etc.
- Experience with CI/CD tools
- MLOps practices, developing ML Pipelines, and deploying ML Models
- Experience with modern DevOps practices
- Knowledge and understanding on Open AI will be a bonus
- Strong Communication skills & should be flexible to work and explore different tech stack
mlops | 6 to 12 years | pan india - Mumbai, India - Capgemini
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