Machine Learning / Data Science Engineer
Tasks
- Analyze and process large datasets
- Build analytical solutions
- Deliver client presentations
- Design end-to-end machine learning solutions
- Develop and deploy machine learning models
- Lead teams of data scientists and engineers
- Optimize machine learning performance
- Productionize machine learning systems
- Transform datasets for analytics
- Write proposals
Perks/Benefits
- Disability insurance
- Employer 401K matching
- Fertility coverage
- Flexible work environment
- Generous PTO
- Health coverage
- Learning and development
- Mental health support
- Mentorship
- Paid family leave
- Remote work options
- Student loan repayment stipend
- Work-life balance
Skills/Tech-stack
Agent Orchestration | Agentic AI | Amazon RDS | Apache Spark | Automation | Azure SQL | Computer Vision | Containerization | Conversational UX | Databricks | DevOps | Docker | LLM | Langchain | Language Processing | Machine Learning | Microservices | Model Management | Model versioning | Multi-Agent | Multi-agent orchestration | N8n | Natural Language | Natural Language Processing | NoSQL | Prompt engineering | Pydantic | Python | RAG | Recommender Systems | Risk scoring | SQL | Scala | Snowflake | Statistical modeling | Statistics
Education
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