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Technical Skills:
AI and Machine Learning:
- Strong proficiency in developing and deploying AI/ML models, with expertise in one or more areas: Machine Learning, Natural Language Processing, Computer Vision, or Reinforcement Learning
- In-depth understanding of both discriminative and generative AI algorithms and architectures
- Experience designing and implementing end-to-end AI/ML pipelines for production environments
- Familiarity with large language models (LLMs) and their applications
Programming and Data Analysis:
- Strong proficiency in Python, including data analysis libraries (Pandas, NumPy, Scikit-learn)
- Experience with AI/ML frameworks such as TensorFlow, PyTorch, or Keras
- Proficient in SQL for data extraction and analysis
- Familiarity with data visualization tools (e.g., Matplotlib, Seaborn)
Cloud and Data Engineering:
- Working knowledge of cloud platforms, preferably Google Cloud Platform (GCP)
- Experience with data pipelines and ETL processes
- Basic understanding of MLOps practices and model deployment
Preferred Technical Skills:
- Familiarity with GCP AI/ML services (e.g., Vertex AI)
- Experience with deployment frameworks like FastAPI or Streamlit
- Knowledge of version control systems (e.g., Git)
- Basic understanding of containerization (Docker)
- Familiarity with Large Language Models (LLMs), RAG (Retrieval-Augmented Generation), vector databases, and document embeddings
- Expertise in prompt engineering and knowledge of cutting-edge AI tools and frameworks
Soft Skills:
- Excellent problem-solving abilities and analytical thinking
- Strong communication skills, able to explain complex technical concepts to both technical and non-technical stakeholders
- Ability to translate business requirements into technical solutions and align AI initiatives with organizational goals
- Experience working in cross-functional teams and collaborating with diverse stakeholders
- Self-motivated with a passion for continuous learning in the rapidly evolving field of AI/ML
- Project management skills, including experience with Agile methodologies
- Ability to write clear, concise technical documentation and reports
What will you do:
- Assist in developing user training modules and extending AI Agent capabilities for various business processes.
- Support the development and integration of AI solutions for loan underwriting, including document verification and credit scoring models.
- Implement and maintain current deployed AI models for internal Paper users.
- Conduct research and development on advanced AI and LLM technologies to drive innovation and implementation.
- Prototype and test new algorithms and models to solve complex business problems.
- Work closely with cross-functional teams, including product design, engineering, and business stakeholders, to understand and meet their data needs.
- Document AI models, algorithms, and systems to ensure knowledge sharing and reproducibility.
- Participate in code reviews and provide feedback to improve code quality and best practices.
Technical Skills:
AI and Machine Learning:
- Strong proficiency in developing and deploying AI/ML models, with expertise in one or more areas: Machine Learning, Natural Language Processing, Computer Vision, or Reinforcement Learning
- In-depth understanding of both discriminative and generative AI algorithms and architectures
- Experience designing and implementing end-to-end AI/ML pipelines for production environments
- Familiarity with large language models (LLMs) and their applications
Programming and Data Analysis:
- Strong proficiency in Python, including data analysis libraries (Pandas, NumPy, Scikit-learn)
- Experience with AI/ML frameworks such as TensorFlow, PyTorch, or Keras
- Proficient in SQL for data extraction and analysis
- Familiarity with data visualization tools (e.g., Matplotlib, Seaborn)
Cloud and Data Engineering:
- Working knowledge of cloud platforms, preferably Google Cloud Platform (GCP)
- Experience with data pipelines and ETL processes
- Basic understanding of MLOps practices and model deployment
Preferred Technical Skills:
- Familiarity with GCP AI/ML services (e.g., Vertex AI)
- Experience with deployment frameworks like FastAPI or Streamlit
- Knowledge of version control systems (e.g., Git)
- Basic understanding of containerization (Docker)
- Familiarity with Large Language Models (LLMs), RAG (Retrieval-Augmented Generation), vector databases, and document embeddings
- Expertise in prompt engineering and knowledge of cutting-edge AI tools and frameworks
Soft Skills:
- Excellent problem-solving abilities and analytical thinking
- Strong communication skills, able to explain complex technical concepts to both technical and non-technical stakeholders
- Ability to translate business requirements into technical solutions and align AI initiatives with organizational goals
- Experience working in cross-functional teams and collaborating with diverse stakeholders
- Self-motivated with a passion for continuous learning in the rapidly evolving field of AI/ML
- Project management skills, including experience with Agile methodologies
- Ability to write clear, concise technical documentation and reports
What will you do:
- Assist in developing user training modules and extending AI Agent capabilities for various business processes.
- Support the development and integration of AI solutions for loan underwriting, including document verification and credit scoring models.
- Implement and maintain current deployed AI models for internal Paper users.
- Conduct research and development on advanced AI and LLM technologies to drive innovation and implementation.
- Prototype and test new algorithms and models to solve complex business problems.
- Work closely with cross-functional teams, including product design, engineering, and business stakeholders, to understand and meet their data needs.
- Document AI models, algorithms, and systems to ensure knowledge sharing and reproducibility.
- Participate in code reviews and provide feedback to improve code quality and best practices.