Senior AI/ML Engineer
Summary
Design, build, and deploy scalable AI/ML pipelines and systems using MLOps, LLMOps, and AgentOps to integrate models into business applications and monitor performance.
- Build AI ML engineering infrastructure for batch pipelines
- Build AI ML engineering infrastructure for real time pipelines
- Design AI ML pipelines using AgentOps
- Design AI ML pipelines using LLMOps
- Design AI ML pipelines using MLOps
- Design develop deploy maintain scalable AI ML systems
- Integrate AI ML models into business applications
- Leverage data to solve business problems
- Perform model monitoring at scale
- Provide ML model serving via REST API
- Run large scale experiments for ML pipelines
- Run tests for data pipelines quality and efficiency
Perks/Benefits:
- Community involvement
- Community service day
- Electricity bill allowance
- Employee resource groups
- Flexible working hours
- Health insurance
- Hybrid work organization
- Internet allowance
- Learning and development
- Life insurance
- Lunch card
- Mental health support
- Multikafeteria
- Multisport card
- Peer recognition program
- Referral Bonus Policy
- Remote work from abroad policy
- Sustainability events
- Wellness allowance