Return to jobs 
Opportunity to revolutionize global education and transform lives with Coursera as an AI Specialist
Overview
Salary No salary declared 😔
Location India
Nomad Friendly? 
Expires Expires at anytime
Visa Visa sponsor
Coursera is a formidable global leader in online education, founded in 2012 with the aim of making world-class learning accessible to everyone. Its platform, backed by partnership with top universities and industry leaders, serves 175 million learners as of 2025. It's utilizing technological advancements like AI to enhance its learning experiences. Be part of this transformative journey as Coursera is recruiting for an AI Specialist, excited about leveraging AI to improve the online learning experience.
Role Summary
- Design, deploy, and customize AI/ML solutions
- Optimize customer journey analytics and predictive models
- Ensure high-quality data for model training and deployment
- Analyze large-scale datasets for platform improvements
- Stay abreast of AI/ML technological advancements
- Evaluate and enhance the quality of content via AI
Role Requirements
- Bachelor's degree in Computer Science/Machine Learning or related field
- 3+ years of AI/ML development experience
- Proficiency in programming languages like Python/Java for AI deployment
- Deep understanding of APIs, cloud services, and AI tool integration
- Experience using platforms like Google AI/AWS for AI solution deployment
- Proven ability in data engineering, model training, and monitoring
- Experience in creating autonomous workflows using LLMs and external APIs
Coursera was launched in 2012 by Andrew Ng and Daphne Koller, with a mission to provide universal access to world-class learning. It is now one of the largest online learning platforms in the world, with 175 million registered learners as of March 31, 2025. Coursera partners with over 350 leading universities and industry leaders to offer a broad catalog of content and credentials, including courses, Specializations, Professional Certificates, and degrees. Coursera’s platform innovations enable instructors to deliver scalable, personalized, and verified learning experiences to their learners. Institutions worldwide rely on Coursera to upskill and reskill their employees, citizens, and students in high-demand 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 customize 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.
- Experience with frameworks and libraries for building AI agents, such as LangChain, AutoGen
- Familiarity with designing autonomous workflows using LLMs and external APIs
- Technical Skills:
- Programming: Advanced proficiency in Python, PyTorch, and TensorFlow, SciKit-Learn
- 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
- Strong SQL skills and advanced proficiency in statistical programming languages such as Python, along with experience using data manipulation libraries (e.g., Pandas, NumPy).
