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In this video, We explain the critical AI and Machine Learning skills Data Engineers must acquire to succeed in 2025 and beyond. Discover how the role is evolving from traditional ETL pipelines to managing intelligent AI/ML systems. Topics Covered: Why are AI and ML skills becoming non-negotiable for Data Engineers? How is the definition of a data pipeline changing for AI/ML applications? What skills are needed to design data pipelines for multimodal data (images, video, vectors)? What is MLOps, and why is mastering it crucial for modern Data Engineers? How do Data Engineers bridge the gap between Data Science and Production using MLOps? What tools like MLflow help automate the ML lifecycle (training, deployment, monitoring)? What is Automated Feature Engineering, and why is it important? How do tools like Tekton and Feast help automate feature generation and validation? What are Vector Databases (e.g., Pinecone, Milvus), and why are they essential for Data Engineers working with Gen AI / LLMs? How does understanding vector search impact a Data Engineer's role? What specific Data Quality concerns (skew, bias) arise in AI/ML systems? Which tools (e.g., Great Expectations, Monte Carlo) help ensure data quality for AI models? What are the superhero AI/ML skills that will make a Data Engineer stand out in 2025? The traditional Data Engineer role focused on moving structured data is evolving rapidly. As AI and ML advancements accelerate, Data Engineers need to upskill to design, build, and manage the infrastructure supporting intelligent systems. This video breaks down the key areas: AI/ML Pipeline Design, MLOps Mastery, Automated Feature Engineering, Vector Databases, and AI-Specific Data Quality. Learn why these skills matter and the tools you need to know. Check out the full "Roadmap to Become a Data Engineer in 2025" playlist: ✅ Full Playlist: • Roadmap to become a Data Engineer in 2025:... ✅ Previous Video: • GCP Data Engineer Roadmap 2025: Essential ... Don't forget to like, comment, and subscribe for more data engineering content! Connect with Us: Newsletter: http://notifyme.itversity.com LinkedIn: / itversity Facebook: / itversity Twitter: / itversity Instagram: / itversity Join this channel to get access to perks: / @itversity #dataengineering #cloudcomputing #DataEngineer #MachineLearning #MLOps