Associate Data Engineer
Tasks
- Build NLP and computer vision solutions
- Build and maintain MLOps pipelines
- Build vector database solutions
- Collaborate with cross-functional teams
- Deploy models to cloud environments
- Design machine learning models
- Develop and deploy AI solutions
- Develop and test scalable data solutions
- Develop data pipelines
- Develop generative AI applications with RAG
- Implement model monitoring and drift handling
- Write production-quality Python code
Perks/Benefits
- 401k employer match
- Fertility assistance
- Generous PTO
- Gym reimbursement
- Hybrid work options
- Paid parental leave
- Sabbatical
- Tuition reimbursement
Skills/Tech-stack
.NET | AI Search | AKS | AWS SageMaker | Agentic flows | Azure AI | Azure AI Search | Azure Document Intelligence | Azure Machine Learning | BERT | C# | Computer Vision | CrewAI | Databricks | Deep learning | Docker | Document Intelligence | ECS | EKS | ETL | GPT | Java | Keras | Kubernetes | Langchain | Langroid | Llamaindex | MLOps | MLflow | Machine Learning | Milvus | NLP | NLTK | Ollama | OpenSearch | PGVector | PyTorch | Python | RAG | Reinforcement Learning | Scala | Scikit-learn | Supervised Learning | TensorFlow | Transformers | Unsupervised Learning | Vector Database | XGBoost
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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