AI or ML Engineer
INR 3264K-5000K (estimate) Mid-level Full Time
Tasks
- Build MLops pipelines
- Build feature engineering workflows
- Build machine learning pipelines
- Collaborate on data pipeline development
- Deploy machine learning models using APIs
- Design machine learning models
- Develop train evaluate deploy machine learning models
- Explore generative AI and agentic AI technologies
- Implement experiment tracking and model versioning
- Implement model validation benchmarking and performance measurement
- Implement observability with monitoring logging alerting
- Integrate AI services into enterprise applications
- Integrate CI/CD
- Monitor deployed models for accuracy drift latency reliability
- Optimize hyperparameters
- Perform exploratory data analysis
- Perform production support and root cause analysis
- Support responsible AI governance compliance and auditability
Perks/Benefits
- Career development opportunities
- Comprehensive benefits
- Flexible work options
- Inclusion-focused culture
Skills/Tech-stack
API Development | Alerting | Amazon SageMaker | Anomaly Detection | Azure Machine Learning | CI/CD | Classification | Data Pipelines | Databricks | Docker | Embeddings | Experiment tracking | Feature Engineering | Forecasting | Hyperparameter Tuning | Kafka | Kubeflow | Language Models | Large Language Models | Logging | MLOps | MLflow | Machine Learning | Model Deployment | Model Evaluation | Model Monitoring | Model versioning | Monitoring | NLP | Observability | Predictive Analytics | PySpark | PyTorch | Python | Recommendation Systems | Regression | Retrieval-Augmented Generation | SQL | Semantic Search | Spark | Statistical modeling | TensorFlow | Vertex AI
Education
Bachelor of Engineering | Bachelor of Science | Bachelor of Science in Computer Science | Bachelor of Science in Data Science
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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