AI Specialist

Launched in 2012 by two Stanford professors, Andrew Ng and Daphne Koller, Coursera is now one of the largest online learning platforms in the world, with 168 million registered learners. Our mission is to provide universal access to world-class learning. We partner with over 350 leading university and industry partners to offer a broad catalog of content and credentials, including courses, Specializations and Professional Certificates degrees. Institutions around the world use Coursera to upskill and reskill their employees, citizens, and students in fields such as GenAI, data science, technology, and business. Coursera is a Delaware public benefit corporation and a B Corp.

Join us in our mission to create a world where anyone, anywhere can transform their life through access to education. We're seeking talented individuals who share our passion and drive to revolutionize the way the world learns.

At Coursera, we are committed to building a globally diverse team and are thrilled to extend employment opportunities to individuals in any country where we have a legal entity. We require candidates to possess eligible working rights and have a compatible timezone overlap with their team to facilitate seamless collaboration. 

Coursera has a commitment to enabling flexibility and workspace choices for employees. Our interviews and onboarding are entirely virtual, providing a smooth and efficient experience for our candidates. As an employee, we enable you to select your main way of working, whether it's from home, one of our offices or hubs, or a co-working space near you.

About the Role
We at Coursera are seeking a highly skilled and motivated AI Specialist with expertise in developing and deploying advanced AI solutions. The ideal candidate will have 3+ years of experience, with a strong focus on leveraging AI technologies to derive insights, build predictive models, and enhance platform capabilities. This role offers a unique opportunity to contribute to cutting-edge projects that transform the online learning experience.

Key Responsibilities

• Deploy and customise AI/ML solutions using tools and platforms from Google AI, AWS, or other providers.
• Develop and optimize customer journey analytics to identify actionable insights and improve user experience.
• Design, implement, and optimize models for predictive analytics, information extraction, semantic parsing, and topic modelling.
• Perform comprehensive data cleaning and preprocessing to ensure high-quality inputs for model training and deployment.
• Build, maintain, and refine AI pipelines for data gathering, curation, model training, evaluation, and monitoring.
• Analyze large-scale datasets, including customer reviews, to derive insights for improving recommendation systems and platform features.
• Train and support team members in adopting and managing AI-driven tools and processes.
• Document solutions, workflows, and troubleshooting processes to ensure knowledge continuity.
• Stay informed on emerging AI/ML technologies to recommend suitable solutions for new use cases.
• Evaluate and enhance the quality of video and audio content using AI-driven techniques.

Qualifications

• Education:
  • Bachelor's degree in Computer Science, Machine Learning, or a related field (required).

• Experience:
  • 3+ years of experience in AI/ML development, with a focus on predictive modelling and data-driven insights.
  • Proven experience in deploying AI solutions using platforms like Google AI, AWS, Microsoft Azure, or similar.
  • Proficiency in programming languages such as Python, Java, or similar for AI tool customization and deployment.
  • Strong understanding of APIs, cloud services, and integration of AI tools with existing systems.
  • Proficiency in building and scaling AI pipelines for data engineering, model training, and monitoring.

• Technical Skills:
• Programming: Advanced proficiency in Python, PyTorch, and TensorFlow.
• Data Engineering: Expertise in data cleaning, preprocessing, and handling large-scale datasets. Preferred experience with tools like AWS Glue, PySpark, and AWS S3.
• Cloud Technologies: Experience with AWS SageMaker, Google AI, Google Vertex AI, Databricks
• Databases: Proficiency in SQL and NoSQL databases for efficient data storage and retrieval.

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