AI ML Engineer (Mid-Senior)
Tasks
- Build AI chatbots and virtual assistants
- Build and fine-tune Generative AI models
- Create containerized environments for model development and deployment
- Deploy models to cloud platforms
- Design, develop, and deploy machine learning models
- Develop Agentic AI systems
- Fine-tune and evaluate models
- Integrate ai ml solutions into production systems
- Optimize machine learning algorithms for accuracy and performance
Perks/Benefits
- Annual leaves
- Bereavement leaves
- Casual leaves
- EOBI
- Marriage leaves
- Maternity leaves
- Medical health insurance
- Paternity leaves
- Provident fund
- Recreational area for in house games
- Sick leaves
Skills/Tech-stack
AWS | Agentic AI | AutoGPT | Azure | CNN | Chatbots | Cloud platform | CrewAI | Data Preprocessing | Deep learning | Diffusion Models | Docker | Feature extraction | Generative AI | Google Cloud | Google Cloud Platform | Hugging Face | Hugging Face Transformers | Image Processing | LLM integration | Langchain | Language Models | Large Language Models | Machine Learning | Mask R-CNN | Model Evaluation | PyTorch | Python | R-CNN | Scikit-learn | Statistical modeling | TensorFlow | Tool use | Transformers | ViT | Vision Transformer | YOLO
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI/ML Engineer | Engineer | Learning Engineer | ML Engineer | Machine Learning Engineer
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