Associate Data Engineer (AI/ML)
Tasks
- Build and maintain data pipelines
- Build end-to-end AI/ML pipelines
- Collaborate with data scientists and engineers
- Deploy AI/ML models to production
- Design scalable data solutions
- Develop and support microservice data apps
- Develop generative AI applications
- Develop machine learning models
- Implement MLOps practices
- Monitor model performance and drift
Perks/Benefits
- 401k match
- Fertility assistance
- Generous PTO
- Gym reimbursement
- Hybrid work options
- Paid parental leave
- Paid sabbatical
- Tuition reimbursement
Skills/Tech-stack
.NET | AI Search | AKS | AWS | Azure | Azure AI | Azure AI Search | Azure Container | Azure Container Apps | Azure Machine Learning | BERT | CNN | Cloud deployment | Computer Vision | Container Apps | CrewAI | Data Ingestion | Data Preprocessing | Databricks | Docker | ECS | EKS | ETL | GPT | Java | Keras | Langchain | Language Processing | Llamaindex | MLOps | MLflow | Machine Learning | Microservices | Milvus | Model Monitoring | Model Training | Model Validation | NLP | Natural Language | Natural Language Processing | Neural Networks | Ollama | OpenSearch | PGVector | PyTorch | Python | RNN | Reinforcement Learning | SageMaker | Scala | Scikit-learn | TensorFlow | Transformers | Vector Databases | XGBoost
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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