Applied AI/ML [Multiple Positions Available]
Tasks
- Build natural language processing models
- Build secure production AI applications
- Contribute to AI and machine learning community events
- Create visualizations and reporting from large datasets
- Design develop and troubleshoot AI and machine learning systems
- Design machine learning and GenAI architectures
- Develop models and integrations for continuous improvement
- Execute AI and machine learning software solutions
- Gather analyze and synthesize data for model development
- Identify patterns and hidden problems in data
- Implement data cleaning and data readiness processes
- Improve machine learning model pipelines
- Maintain AI algorithms in production systems
Perks/Benefits
- Backup childcare
- Financial coaching
- Health care coverage
- Mental health support
- On-site health and wellness centers
- Retirement savings plan
- Tuition reimbursement
Skills/Tech-stack
AI Governance | AI governance framework | AWS | Azure | BM25 | CI/CD | Collaborative Filtering | Content-Based Filtering | Content-based | Data Analysis | Data cleaning | Decision Trees | Docker | Entity Extraction | Exploratory Data Analysis | FINOS AI Governance Framework | Feature Engineering | Governance Framework | Java | Kubernetes | Label engineering | Language Processing | Microservices | Natural Language | Natural Language Processing | OpenSearch | Python | Question Answering | Scikit-learn | Semantic similarity | Sentiment Analysis | Summarization | Terraform | Text Classification | Transformer Models | Vector Databases | XGBoost
Regions
Countries
States
Cities
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