Senior Artificial Intelligence/Machine Learning Engineer
Tasks
- Architect scalable AI and software solutions
- Collaborate with product and engineering to define requirements
- Deploy and optimize AI workloads on cloud
- Develop RAG based chatbot solutions
- Evaluate emerging AI technologies and apply to products
- Implement agile development practices
- Improve solution quality using testing and performance optimization
- Integrate generative AI into production applications
- Lead design and delivery of AI driven applications
- Lead technical deliverables and drive architecture decisions
- Mentor engineers on AI and software practices
- Monitor and troubleshoot AI applications
Perks/Benefits
- Conference access
- Financial and legal consultation support
- Internal mobility
- Language learning resources
- Learning and development initiatives
- Medical insurance
- Mental health support
- Mentorship opportunities
- Professional Certification Support
- Remote work
- Udemy access
Skills/Tech-stack
AWS | Agile | Azure | Debugging | Deep learning | Embeddings | Hugging Face | Hugging Face Transformers | Java | Langchain | Language Models | Language Processing | Large Language Models | Machine Learning | Natural Language | Natural Language Processing | Performance optimization | PyTorch | Python | Retrieval-Augmented Generation | Scalable Architecture | TensorFlow | Testing | Vector Database
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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