Generative AI Delivery Lead, Senior Manager - Life Sciences

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Modern Data & AI Platforms

Platforms like Databricks, Dataiku, DataRobot provide valuable resources for data and AI tasks.

Knowledge of Containerization Platforms

Understanding Docker and Kubernetes is beneficial in modern tech environments.

Software Development Tools

Familiarity with tools like JIRA, Confluence, and Git can streamline development workflows.

Technical Skills

Problem-Solving and Analytical Skills

Ability to think critically and analyze situations is crucial in tech roles.

Proficiency in Object-Oriented Programming Languages

Skills in Python, Java, or Scala are essential for effective programming.

AI Architectural Patterns

Understanding patterns like RAG and fine tuning is important in generative AI.

Machine Learning Expertise

Experience in training and deploying machine learning models is valuable for AI projects.

Development Skills

RESTful APIs

Designing and implementing RESTful APIs is key for building AI applications.

Web Development Technologies

Knowledge of HTML, CSS, JavaScript, and React is beneficial for web development.

Database Management and SQL

Proficiency in database systems and SQL is essential for data handling.

ETL Pipelines

Experience in developing ETL pipelines using distributed systems is valuable for data processing.

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