AI ML Engineer
Primary location: Gurgaon, India
INR 3000K-6000K (estimate) Senior-level Full Time
Tasks
- Build production ML pipelines
- Collaborate on AI solution architecture patterns
- Design scalable multi cloud ML infrastructure
- Design, develop, and deploy AI/ML solutions
- Document methodologies and experiments
- Ensure scalability security reliability and observability
- Evaluate tune and optimize ML models
- Implement model drift analysis and monitoring
- Integrate real-time and batch data pipelines
- Lead end to end ML workflows
- Mentor data scientists and ML engineers
- Perform feature engineering EDA and model development
- Stay current with AI/ML research and tools
Perks/Benefits
- Career development opportunities
- Comprehensive benefits
- Flexible work arrangements
- Inclusion-focused culture
Skills/Tech-stack
AWS | Azure | Cloud platform | Databricks | Dataflow | Drift analysis | EDA | Feature Engineering | Feature Store | Google Cloud | Google Cloud Platform | Hadoop | Kafka | MLflow | Model Drift | Model Drift Analysis | Model Monitoring | NumPy | ONNX | Pandas | PySpark | PyTorch | Python | Responsible AI | SQL | Scikit-learn | Synapse | TensorFlow | Vector Database
Education
Roles
AI | AI Engineering | AI Engineering Lead | AI/ML Engineer | Engineer | Engineering Lead | Lead | ML Engineer
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