Strategize, plan and deliver MLOps initiatives by liaising with key business stakeholders
Design, develop and deploy complex AI/ML solutions on cloud infrastructure (using ML engineering, ML Ops workflows & tools) that can scale in response to changing business and technical requirements
Create infra and architecture diagrams
Ability to project manage, allocate activities to junior/senior ML engineers and take it to closure
Improvise coding practices, support code reviews and bring in best practices for model management
Provide thought leadership in terms of new technologies and tools, suggest improvements
Able to support in the interview process to hire junior and senior ML engineers
