Senior Manager AI/ML Engineering
Primary location: Gurgaon, India
INR 3000K-5000K (estimate) Senior-level Full Time
Tasks
- Apply NLP deep learning semantic understanding predictive modeling computer vision and speech technologies
- Build cloud based distributed AI ML solutions for clinical workflows and decision support
- Build production grade AI ML architectures for real time insights
- Communicate AI strategy model performance risks and business value
- Define and execute AI platform and model deployment strategy
- Establish MLOps standards automation governance and monitoring
- Improve platform efficiency resilience and scalability with automation testing and CI CD
- Lead AI ML solution design development deployment and operationalization
- Lead and mentor AI/ML engineering teams
- Own model orchestration data pipelines and machine learning workflows
- Partner with product architecture data science operations and business stakeholders
Perks/Benefits
Skills/Tech-stack
AWS | Automated retraining | Azure | Azure Machine Learning | CI/CD | Cloud platform | Computer Vision | Continuous Deployment | Continuous integration | Databricks | Deep learning | Drift Detection | Google Cloud | Google Cloud Platform | Language Processing | Lifecycle Management | MLOps | Machine Learning | Model Drift | Model Drift Detection | Model Lifecycle | Model Lifecycle Management | Model Monitoring | Natural Language | Natural Language Processing | Predictive Modeling | PySpark | Python | SQL | Semantic understanding | Snowflake | Speech Recognition
Education
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