Engineering Manager-AI/ML
Tasks
- Analyze LLM responses and iteratively improve prompts
- Analyze and preprocess datasets for prompt development
- Build RAG pipelines and agent workflows
- Build and deploy machine learning pipelines in cloud
- Collaborate on dataset cleaning transformation and augmentation
- Create vector search and inference serving components
- Deploy machine learning models to production
- Design and build AI and machine learning applications
- Design generative AI solution architecture
- Develop and optimize prompts for LLMs
- Evaluate machine learning models and tune performance
- Fine tune and personalize machine learning models
- Lead and mentor machine learning and data science teams
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Azure | Cloud Machine Learning | Computer Vision | Data Analysis | Data Augmentation | Data Imbalance | Data Imbalance Handling | Data Preprocessing | Data Transformation | Data Warehousing | Data cleaning | Deep learning | Exploratory Data Analysis | Feature Engineering | Fine Tuning | GCP | Langchain | Language Models | Language Processing | Large Language Models | Machine Learning | Machine Learning Pipelines | Model Evaluation | Model Fine-tuning | Natural Language | Natural Language Processing | NumPy | Outlier Detection | Pandas | Prompt engineering | PyTorch | Python | Retrieval-Augmented Generation | Scikit-learn | TensorFlow | Vector Search | XGBoost
Education
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