AI/GenAI - ML Engineer
Tasks
- Build LLM based AI agents
- Build and maintain machine learning pipelines
- Conduct code reviews
- Deploy machine learning models to production
- Develop embedding generation pipelines
- Develop retrieval-augmented generation systems
- Document models pipelines and APIs
- Fine-tune large language models
- Identify model optimization opportunities
- Integrate large language models into applications
- Integrate vision language models into applications
- Measure model performance in production
- Monitor machine-learning models in production
- Perform prompt engineering
- Preprocess data for machine learning
- Train and evaluate machine learning models
Perks/Benefits
- Career development
- Coaching
- Employee referral bonus
- Flexible working hours
- Home equipment benefits
- Hybrid work model
- Learning and development plan
- Mentoring
- Onsite gym
- Private health insurance
- Wellness facilities
Skills/Tech-stack
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
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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