Senior Full-Stack Machine Learning Engineer (GenAI / Agentic Systems)
Tasks
- Build agentic AI systems with LLMs tools and workflows
- Collaborate with cross-functional teams
- Create proof of concepts
- Deploy cloud-based AI models
- Design and develop AI-powered products
- Implement ML lifecycle for data engineering and model development
- Integrate AI services with APIs and UI
- Monitor and iterate production systems
- Optimize model and system performance
- Own end to end delivery of AI features
- Productionize full stack AI solutions
- Set up MLOps pipelines
- Stay up to date with AI and ML research
Perks/Benefits
Skills/Tech-stack
APIs | AWS | Automated testing | Azure | Classification | Computer Vision | Cost Optimization | Data Pipelines | Distributed Systems | Generative AI | Google Cloud | Language Models | Large Language Models | Latency optimization | MLOps | Machine Learning | Mobile Apps | Prompt engineering | Python | Reliability Engineering | Retrieval-Augmented Generation | SQL | Shell Scripting | Vector Databases | Web Frontend
Education
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