AI/ML Engineer
Bengaluru, Karnātaka, India
INR 1800K-3000K (estimate) Mid-level Full Time
Tasks
- Benchmark models and fine-tune hyperparameters
- Build ML pipelines for training testing deployment monitoring
- Build data pipelines for feature extraction cleaning transformation
- Collaborate with data scientists and engineers to deliver business outcomes
- Deploy ML models to production
- Design train optimize ML models
- Ensure ethical AI compliance
- Implement CI/CD for ML deployment
- Implement data quality consistency lineage
- Implement drift detection continuous learning retraining
- Implement security measures for ML models secure APIs
- Mentor junior engineers and apply best practices
- Optimize algorithms for speed, accuracy, cost
Perks/Benefits
- Career Development Programs
- Flexible work arrangements
- Health and wellbeing benefits
- Hybrid work schedule
Skills/Tech-stack
AWS | AWS SageMaker | Airflow | Artificial Intelligence | Azure | Azure ML | CI/CD | Computer Vision | Data Lakes | Deep learning | Docker | Flink | GPU | Google Cloud | Google Cloud Vertex | Google Cloud Vertex AI | Kafka | Keras | Kubeflow | Kubernetes | Language Processing | ML pipelines | MLOps | MLflow | Machine Learning | Natural Language | Natural Language Processing | NoSQL | PyTorch | Python | R | Reinforcement Learning | SQL | Scala | Scikit-learn | Spark Streaming | TPU | TensorFlow | Transformers | Vertex AI | XGBoost
Education
Roles
AI | AI/ML Engineer | Engineer | ML Engineer
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