Machine Learning Engineer 5, Bengaluru

This opportunity is with the Spend Optimizer group. In collaboration with a team of highly motivated data scientists and engineers, you will apply reinforcement learning, time series analysis, bayesian modeling, Gen AI frameworks to optimize ad spends. What you'll Do - Technically lead and guide team of skilled machine learning engineers to design and implement ML algorithms/modelsCollaborate with multi-functional teams to determine technical requirements Develop and deploy scalable machine learning solutions that optimize Adobe's products and services, deliver value to clients and drive customer adoption Drive innovation through research and experimentation, encouraging an environment where new ideas can thriveMonitor and evaluate the performance of ML models, making vital adjustments to compete at the highest level What you need to succeed Outstanding knowledge of machine learning frameworks and tools such as PyTorch, Tensorflow, Scikit-learn, with strong programming skills in Python Solid understanding of core machine learning and statistics, including Bayesian Modeling, Time Series Analysis, Reinforcement Learning, and OptimizationExperience in developing, deploying and maintaining ML models in a production environment Ability to thrive in a collaborative, inclusive, and diverse workplace, embracing different perspectives and ideas Ideal Candidate Profile: A total of 10+ years of experience in an applied Machine Learning setting, delivering cloud-scale, data-driven products, and servicesPhD or master's in Computer Science/ Applied Math/Statistics/ related field. Experience and domain expertise in Digital ad technologies is desirable. Comfort with ambiguity, adaptability to evolving priorities, and an ability to influence technical and non-technical collaborators