Related skills
aws snowflake sql python tensorflow📋 Description
- Develop ML/AI products with stream-aligned teams
- Support testing and monitoring for ML outputs to ensure reliability
- Collaborate with Data Platform to improve deployment and governance
- Write clean, maintainable ML code and pipelines
- Participate in code reviews and knowledge sharing within the team
🎯 Requirements
- 4+ years in ML Scientist/Engineer roles
- Experience deploying ML models end-to-end
- Proficiency in Python, SQL, and ML frameworks (TF, PyTorch, XGBoost, Spark)
- Familiarity with modern DevOps and cloud infra (AWS, Snowflake)
- Practical experience with model testing, deployment, monitoring
- Strong collaboration and communication across teams
- Experience with generative AI and LLMs, prompt engineering, RAG
🎁 Benefits
- Hybrid onboarding with remote start and relocation support
- Health insurance for you and family
- Professional development budget
- Flexible benefits package
- Hybrid work and generous leave
- In-office meals and snacks
- Company-funded sports, offsites, team-building
🚚 Relocation support
Meet JobCopilot: Your Personal AI Job Hunter
Automatically Apply to Data Jobs. Just set your
preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters.
Help us maintain the quality of jobs posted on Empllo!
Is this position not a remote job?
Let us know!