AI/GenAI - ML Engineer
Tasks
- Build LLM based AI agents
- Build and maintain machine learning pipelines
- Deploy and monitor machine learning models in production
- Develop documentation for models pipelines and APIs
- Develop retrieval-augmented generation systems
- Fine tune LLM techniques
- Generate embeddings
- Integrate large language models into applications
- Integrate vision language models into applications
- Monitor and analyze model performance in production
- Participate in code reviews
- Perform prompt engineering
- Research new AI trends
- Train and evaluate machine learning models
Perks/Benefits
- Career development
- Coaching
- Data plan
- Flexible working hours
- Gym access
- Home-office equipment
- Hybrid work model
- Meal allowance
- Mentoring
- Mobile Plan
- Private health insurance
- Wellness program
Skills/Tech-stack
AI Agents | AI Search | API Development | Azure AI | Azure AI Search | Azure Machine Learning | Azure OpenAI | Computer Vision | Embeddings | Fine Tuning | Language Models | Language Processing | Large Language Models | Machine Learning | Natural Language | Natural Language Processing | Prompt engineering | PyTorch | Python | Retrieval-Augmented Generation | Scikit-learn | TensorFlow | Vision Language Models | Vision-language
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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