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Senior AI Specialist at Coursera. Location Information: India. About the Role. Coursera is seeking a highly skilled and motivated . Senior AI Specialist. to join our team. This individual will play a pivotal role in developing and deploying advanced AI solutions that enhance our platform and transform the online learning experience. The ideal candidate has . 5–8 years of experience. , combining deep technical expertise with strong leadership and collaboration skills.. This is a unique opportunity to work on cutting-edge projects in AI/ML, including recommendation systems, predictive analytics, and content optimization. We’re looking for someone who is not only a strong individual contributor but also capable of mentoring others and influencing technical direction across teams.. Key Responsibilities. Deploy and customize AI/ML solutions using platforms such as Google AI, AWS SageMaker, and other cloud-based tools.. Design, implement, and optimize models for . predictive analytics. , . semantic parsing. , . topic modeling. , and . information extraction. .. Enhance customer journey analytics to identify actionable insights and improve user experience across Coursera’s platform.. Build and maintain AI pipelines for . data ingestion. , . curation. , . training. , . evaluation. , and . model monitoring. .. Conduct advanced . data preprocessing. and cleaning to ensure high-quality model inputs.. Analyze large-scale datasets (e.g., customer reviews, usage logs) to improve recommendation systems and platform features.. Evaluate and improve the quality of video and audio content using AI-based techniques.. Collaborate cross-functionally with product, engineering, and data teams to integrate AI solutions into user-facing applications.. Support and mentor team members in AI/ML best practices and tools.. Document workflows, architectures, and troubleshooting steps to support long-term scalability and knowledge sharing.. Stay current with emerging AI/ML trends and technologies, advocating for their adoption where applicable.. Qualifications. Education. Bachelor’s degree in Computer Science, Machine Learning, or a related technical field (required). Master’s or PhD preferred.. Experience. 5–8 years of experience in AI/ML development with a strong focus on . building production-grade models and pipelines. .. Proven track record in deploying scalable AI solutions using platforms like . Google Vertex AI. , . AWS SageMaker. , . Microsoft Azure. , or . Databricks. .. Strong experience with . backend integration. , . API development. , and . cloud-native services. .. Technical Skills. Programming:. Advanced proficiency in Python (including libraries like TensorFlow, PyTorch, Scikit-learn). Familiarity with Java or similar languages is a plus.. Data Engineering:. Expertise in handling large datasets using . PySpark. , . AWS Glue. , . Apache Airflow. , and . S3. .. Databases:. Solid experience with both SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, DynamoDB) systems.. Cloud:. Hands-on experience with cloud platforms (AWS, GCP) and tools like . Vertex AI. , . SageMaker. , . BigQuery. , . Lambda. , etc.. Soft Skills & Leadership Attributes (Senior Engineer Level). Technical leadership:. Ability to drive end-to-end ownership of AI/ML projects—from design through deployment and monitoring.. Collaboration:. Skilled at working cross-functionally with product managers, engineers, and stakeholders to align on priorities and deliver impactful solutions.. Mentorship:. Experience mentoring junior engineers and fostering a culture of learning and growth within the team.. Communication:. Clear communicator who can explain complex technical concepts to non-technical stakeholders.. Problem-solving:. Proactive in identifying challenges and proposing scalable, maintainable solutions.. Adaptability:. Comfortable working in a fast-paced, evolving environment with changing priorities and goals..  . #LI-SP2