AI/ML Engineer
INR 1800K-3000K (estimate) Mid-level Full Time
Tasks
- Benchmark models and tune hyperparameters
- Build data pipelines for real time and batch workloads
- Build scalable ML pipelines
- Collaborate with data scientists and engineers
- Deploy ML models to production
- Design train optimize ML/DL models
- Ensure ethical AI and regulatory compliance
- Implement ML lifecycle training testing deployment monitoring
- Implement security for ML models
- Integrate CI CD for model deployment
- Mentor engineers and share best practices
- Monitor model drift and retrain
- Optimize model algorithms for speed accuracy cost
Perks/Benefits
- Career Development Programs
- Flexible work arrangements
- Health and wellbeing benefits
- Hybrid work schedule
Skills/Tech-stack
AWS SageMaker | Apache Airflow | Apache Flink | Apache Kafka | Apache Spark | Apache Spark Streaming | Azure Machine Learning | CI/CD | Continuous Learning | Data Lakes | Data Quality | Docker | Drift Detection | Google Vertex | Google Vertex AI | Keras | Kubeflow | Kubernetes | MLOps | MLflow | Machine Learning | Model Monitoring | NoSQL | PyTorch | Python | R | SQL | Scala | Scikit-learn | Spark Streaming | TensorFlow | Vertex AI | XGBoost
Education
Roles
AI | AI/ML Engineer | Engineer | ML Engineer
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