AI Lead (Technical)
INR 3000K-5000K (estimate) Senior-level Full Time
Tasks
- Drive AI ML platform tooling and best practices
- Ensure AI ML compliance security and governance
- Establish monitoring logging and observability standards
- Evaluate select and integrate AI ML tools frameworks and cloud services
- Lead AI ML operational and platform engineering
- Optimize model performance and infrastructure efficiency
- Provide AI/ML architecture guidance
- Provide technical leadership and mentoring
- Stay current with emerging AI/ML technologies
- Support containerized and cloud native deployments
- Translate business requirements into AI/ML solutions
Perks/Benefits
- N/A
Skills/Tech-stack
AWS SageMaker | Amazon Web Services | Apache Spark | Azure | Azure AI | Cloud platform | DVC | Data Engineering | Databricks | Datadog | Docker | ELK Stack | ETL | Git | Google Cloud | Google Cloud Platform | Google Vertex | Google Vertex AI | Grafana | Hadoop | Java | Kubeflow | Kubernetes | LLMOps | MLOps | MLflow | Machine Learning | Pandas | Prometheus | Prompt engineering | PyTorch | Python | Retrieval-Augmented Generation | SQL | Scala | Scikit-learn | TensorFlow | Transformers | Version control | Vertex AI | Web Services | Weights and Biases | XGBoost
Education
N/A
Roles
AI | AI Engineer | Engineer | Lead | Learning Engineer | Machine Learning Engineer | Technical Lead
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