Associate Data Engineer (AI/ML)
Tasks
- Build deploy maintain scalable AI and machine learning pipelines
- Build resilient production grade microservices
- Collaborate on agile teams
- Collaborate with cross-functional teams
- Deploy machine learning models to AWS and Azure
- Design build optimize machine learning models
- Develop data pipelines
- Develop test maintain cloud based data solutions
- Implement MLOps practices for model training validation deployment
- Implement model monitoring and handle model drift
- Optimize cost tradeoffs for training and inference
- Use generative AI techniques with retrieval augmented generation
Perks/Benefits
- 401k match
- Benefits Eligibility Day One
- Fertility assistance
- Generous paid time off
- Gym equipment reimbursement
- Gym membership reimbursement
- Hybrid work options
- Paid parental leave
- Paid sabbatical
- Tuition reimbursement
Skills/Tech-stack
.NET | AI Search | AKS | AWS | AWS SageMaker | Agile | Azure | Azure AI | Azure AI Search | Azure Container | Azure Container Apps | Azure Document Intelligence | Azure Machine Learning | BERT | Computer Vision | Container Apps | Containers | Continuous Improvement | CrewAI | Csharp | Data Ingestion | Data Preprocessing | Databricks | Docker | Document Intelligence | ECS | EKS | ETL | GPT | Java | Keras | Kubernetes | Langchain | Langroid | Language Processing | Llamaindex | MLflow | Machine Learning | Milvus | Model Monitoring | Model retraining | NLTK | Natural Language | Natural Language Processing | Neural Networks | Ollama | OpenSearch | PGVector | PyTorch | Python | RAG | Reinforcement Learning | Scala | Scikit-learn | Similarity Search | TensorFlow | Transformers | Vector Databases | XGBoost
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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