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AI Specialist Coursera. 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.. #LI-SP2