Lead Machine Learning / Data Science Engineer
Tasks
- Analyze and transform large datasets
- Deconstruct business needs into data driven processes
- Deliver presentations and proposals
- Design end-to-end machine learning solutions
- Develop and deploy analytical solutions
- Lead teams of data scientists and engineers
- Optimize and scale machine learning systems
- Productionize machine learning systems
- Provide technical leadership and mentorship
Perks/Benefits
- 401k matching
- Carrot fertility benefits
- Disability insurance
- Employee resource groups
- Flexible work environment
- Fringe stipend
- Learning and development programs
- Mentally health support
- Mentorship programs
- Onsite flexibility
- Paid family leave
- Remote work when compatible
- Tuition support
- Volunteer and pro bono opportunities
- Work-life balance
Skills/Tech-stack
Agent Orchestration | Agentic AI | Amazon RDS | Apache Spark | Azure SQL | Databricks | Docker | LLMs | Langchain | Language Model Deployment | Language Processing | Large Language Model | Large Language Model deployment | Machine Learning | Microservices | Model Deployment | Model Management | Model versioning | Multi-Agent | Multi-agent orchestration | Natural Language | Natural Language Processing | NoSQL | Prompt engineering | Pydantic | Python | RAG | Recommender Systems | Retrieval-Augmented Generation | Risk scoring | SQL | Scala | Snowflake | Statistical modeling | Statistics
Education
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