Senior Machine Learning Engineer (Temporary)
Tasks
- Build generative AI and agentic AI systems
- Collaborate with data engineering and business intelligence teams
- Conduct exploratory data analysis
- Containerize and orchestrate model serving
- Deploy machine learning models
- Design machine learning models
- Develop end-to-end data science solutions
- Develop machine learning algorithms
- Evaluate model accuracy and performance
- Implement retrieval-augmented generation
- Manage AI ML infrastructure with Infrastructure as Code
- Mentor developers and junior designers
- Monitor and retrain machine learning systems
- Optimize machine learning system performance
- Perform feature engineering
- Transition models to production using MLOps
Perks/Benefits
- 401k match
- Dental insurance
- Employee assistance program
- Employee recognition
- FSA
- Family assistance
- Fertility assistance
- Fitness discounts
- HSA
- Medical insurance
- Paid Holidays
- Paid sick leave
- Paid time off
- Product Discounts
- Transportation assistance
- Vision insurance
Skills/Tech-stack
AWS | Agentic AI | Azure | BERT | Bedrock | BigQuery | Convolutional Neural Networks | Databricks | Deep learning | Docker | GCP | Generative AI | Java | Keras | Kubernetes | Langchain | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Natural Language | Natural Language Processing | Neural Networks | PyTorch | Python | R | Retrieval-Augmented Generation | SQL | SageMaker | Scikit-learn | TensorFlow | Terraform | Transformers | Vertex AI
Education
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