3 days ago
Responsibilities
- Build and maintain large-scale distributed systems for the full ML lifecycle.
- Collaborate with data architects and product teams to solve complex business problems.
- Lead the development and debugging of agent-based systems.
- Support rollout and monitoring plans for production-grade ML systems.
Requirements
- 5+ years of experience as an AI-ML Engineer.
- Proficiency in Java, Springboot, Python, and PyTorch or TensorFlow.
- Experience with high-performance queries for large-scale analytics platforms.
- Deep expertise in designing and deploying anomaly detection systems.
- Hands-on experience with multi-agent orchestration and autonomous decision-making workflows.
- Strong background with distributed infrastructure and public cloud platforms.
Benefits
- Various health plans.
- Time off plans for vacation and sick time.
- Parental leave options.
- Retirement options.
- Education reimbursement.
- In-office perks, and more.