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Data Pipelines for AI
3 months ago
Job Title: Data Pipelines for AI & ML AnalyticsLocation: CanadaRequired Skills:Advanced Python Proficiency: Ability to write clean, efficient, and maintainable code; strong understanding of Python libraries and frameworks.Database Integration Experience: Proficient in integrating with various databases such as PostgreSQL and Snowflake; experience with writing complex SQL queries and database optimization.Preferred Skills:Experience with AI Libraries: Familiarity with AI and machine learning libraries such as LangChain; ability to implement and fine-tune machine learning models.Interfacing with Large Language Models (LLMs): Hands-on experience with using APIs from platforms like OpenAI (e.g., ChatGPT); understanding of LLM capabilities and limitations.Database Configuration and Management: Experience in configuring, managing, and maintaining databases to ensure data integrity and performance.Highly Recommended Skills:Cloud Computing Expertise: Proficiency in cloud platforms, preferably AWS; experience with services like EC2, S3, Lambda, and RDS.CI/CD Pipeline Experience: Proficiency in continuous integration and continuous deployment tools such as CircleCI and Octopus; ability to set up, manage, and troubleshoot CI/CD pipelines.Containerization and Serverless Computing: Experience with container orchestration using Kubernetes and/or serverless computing with AWS Lambda; understanding of microservices architecture.Responsibilities:Write and maintain clean, efficient, and maintainable Python code.Integrate with various databases such as PostgreSQL and Snowflake.Write complex SQL queries and optimize database performance.Implement and fine-tune machine learning models using AI libraries like LangChain.Use APIs from platforms like OpenAI to interface with large language models.Configure, manage, and maintain databases to ensure data integrity and performance.Work with cloud platforms, preferably AWS, and utilize services like EC2, S3, Lambda, and RDS.Set up, manage, and troubleshoot CI/CD pipelines using tools such as CircleCI and Octopus.Utilize container orchestration (Kubernetes) and serverless computing (AWS Lambda) within a microservices architecture.Apply DevOps principles and best practices, including automation and infrastructure as code (e.g., Terraform, Ansible).Use version control systems like Git for branching, merging, and pull requests.Debug and optimize code and systems, demonstrating strong problem-solving and analytical skills.Collaborate effectively within a development team and with cross-functional teams, showcasing strong communication skills.Apply understanding of web development and user interfaces to improve the overall functionality and user experience.
