Sr. Engineer, Machine Learning
Tasks
- Collaborate with data science QA and infrastructure teams to productionize machine learning models
- Convey complex machine learning concepts clearly
- Manage machine learning lifecycle from data collection to deployment and monitoring
- Stay updated with developments in data science and machine learning
- Support and evolve existing machine learning solutions with newer technologies
- Write and optimize production code for machine learning services
Perks/Benefits
- N/A
Skills/Tech-stack
Airflow | Amazon Redshift | Amazon SageMaker | Apache Kafka | Apache Spark | Big Data | Classification | Data Pipelines | Databricks | Deep learning | Docker | FastAPI | Flask | Gradient boosting | Grafana | Graph Neural Networks | Gunicorn | Java | Jenkins | Kibana | Kubernetes | Language Models | Large Language Models | Logistic Regression | MLflow | Machine Learning | Machine learning lifecycle | Milvus | MongoDB | Neural Networks | Prompt engineering | PyTorch | Python | Quarkus | RabbitMQ | Redis | Regression | SQL | Scala | Scikit-learn | Streaming | System Architecture | TensorFlow | Vector Databases
Education
Regions
Countries
States
Cities
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