Senior AI/ML Engineer - Technology

Tasks

• Analyze experiment results
• Build fine-tuned LLMs
• Collaborate with data engineering
• Conduct ML experimentation
• Create CI/CD pipelines
• Deploy machine learning models
• Design AI/ML models
• Develop Python pipelines
• Educate cross functional partners
• Implement RAG architectures
• Implement agentic workflows
• Implement vector retrieval systems
• Monitor deployed models
• Optimize model performance
• Productionize models with MLOps

Perks/Benefits

• Paid time off
• Remote work
• Work autonomy

Skills/Tech-stack

Agentic Workflows | CI/CD | Deep learning | Experiment tracking | Fine Tuning | HuggingFace Transformers | LLMOps | Langchain | Language Models | Language Processing | Large Language Models | Llamaindex | MLOps | Machine Learning | Model Deployment | Model Monitoring | Multimodal Embeddings | Natural Language | Natural Language Processing | OpenAI API | Python | React | Retrieval-Augmented Generation | Transformers | Vector Databases | Version control