Senior Machine Learning Engineer – GenAI / Agentic Systems
Tasks
- Collaborate with cross functional teams on ML validation
- Create proof of concepts
- Deploy models to cloud
- Design develop AI powered products
- Evaluate latency cost and reliability trade offs
- Fine tune models optimize training and inference
- Implement machine learning lifecycle
- Orchestrate LLMs tools and workflows
- Research and evaluate SOTA AI trends
- Set up MLOps pipelines
- Translate GenAI architectures into solutions
Perks/Benefits
- Company bonus
- Educational assistance
- Flexible working hours
- In-house training
- Medical insurance
- Soft-skills training
Skills/Tech-stack
APIs | AWS | Artificial Intelligence | Automated testing | Azure | Classification | Cloud platform | Computer Vision | Data Engineering | Distributed Systems | Generative AI | Google Cloud | Google Cloud Platform | Language Models | Large Language Models | MLOps | Machine Learning | Model Deployment | Model Development | Prompt engineering | Python | Retrieval-Augmented Generation | Shell Scripting | Vector Databases | Web development
Education
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