Associate Machine Learning Engineer
USA, Massachusetts, Boston, 200 Berkeley Street, United States
USD 80K-134K Mid-level Full Time
Tasks
- Build AI and GenAI solutions
- Build and manage data models
- Build data pipelines
- Cleanse and validate data
- Collaborate with IT teams on data architecture and integration
- Collaborate with data engineers and architects
- Communicate results to business stakeholders
- Design AI and GenAI architectures
- Develop and deploy machine learning models
- Develop automation scripts for cloud deployments
- Develop prompt engineering
- Implement ETL and ELT processes
- Implement MLOps workflows
- Ingest and curate data
- Integrate AI solutions with backend and frontend systems
- Monitor and optimize AI solutions
- Monitor data pipeline performance
- Perform data analysis and testing
- Use version control and testing practices
Perks/Benefits
- Dental insurance
- Flexible work environment
- Health insurance
- Hybrid work arrangement
- Paid time off
- Vision insurance
- Wellness benefits
Skills/Tech-stack
Agile | Apache Spark | Azure Cosmos | Azure Cosmos DB | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Functions | Azure SQL | Azure SQL Data | Azure SQL Data Warehouse | CI/CD | Computer Vision | Cosmos DB | Data Cleansing | Data Factory | Data Lake Storage | Data Modeling | Data Warehouse | Data Warehousing | Databricks | DevOps | Document Classification | ELT | ETL | End to End | End-to-End Testing | Entity Extraction | Entity Relation Extraction | Feature Engineering | GenAI | Git | Integration Testing | Jira | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Microsoft Azure | Model Deployment | Model Monitoring | Natural Language | Natural Language Processing | OCR | Prompt engineering | Python | Relation extraction | Retrieval-Augmented Generation | SQL | SQL Data Warehouse | Scala | Unit Testing | Vector embeddings
Education
Regions
Countries
States
Cities
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