Applied AI ML [Multiple Positions Available]
Tasks
- Architect scalable AI agents
- Build and maintain vendor relationships
- Conduct change management for models
- Define modeling objectives and decision variables
- Deploy customized language models
- Design real-time inference pipelines
- Develop and maintain production code
- Develop generative AI solutions
- Develop presentations for stakeholders
- Implement agentic workflows
- Maintain model governance and risk controls
- Mentor junior team members
- Perform quantitative analysis
- Select modeling methodologies
Perks/Benefits
- Backup childcare
- Financial coaching
- Health insurance
- Mental health support
- On-site wellness centers
- Retirement savings plan
- Tuition reimbursement
Skills/Tech-stack
A/B | A/B Testing | ASR | Agent systems | Agentic AI | Amazon ECS | Amazon EKS | Amazon EMR | Amazon S3 | Amazon SageMaker | Apache Spark | B testing | Big Data | C# | Concurrent Inference | Convolutional Neural Networks | Data Lake | Data Warehousing | Databricks | JAX | Java | Knowledge graphs | Language Processing | Long Short | Long Short-Term Memory | Machine Learning | Multi-Agent | Multi-Agent Systems | Natural Language | Natural Language Processing | Neural Networks | OpenSearch | PyTorch | Python | R | Retrieval-Augmented Generation | Short Term Memory | Snowflake | Statistical modeling | TensorFlow | Transformers | Vector Databases
Regions
Countries
States
Cities
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