Job Description What You'll Do Architect and implement advanced deep learning models for multimodal recommendation systems, processing diverse data types including text, images, user behavior, item features, offer data, and contextual signals. Lead the development and optimization of generative AI applications for personalized product discovery, search enhancement, and customer engagement. Expert in leveraging cutting-edge GenAI techniques, prompt engineering, transformer architectures, and own end-to-end development of scalable AI/ML pipelines Design and maintain highly scalable ML infrastructure using GCP services (Vertex AI, BigTable, BigQuery, Cloud Composer) capable of handling millions of daily predictions. Build and optimize end-to-end ML pipelines for model training, deployment, and monitoring at scale. Drive technical strategy and architecture decisions for the personalization platform. Collaborate with product managers, data scientists, and engineers to translate business requirements into robust technical solutions. Lead experimentation strategies with measurable KPIs including adoption, conversion & retention. Mentor junior team members and contribute to building a strong technical culture. We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to Human Resources Request Form (https://airtable.com/app21VjYyxLDIX0ez/shrOg4IQS1J6dRiMo) . The EEOC "Know Your Rights" Poster is available here (https://www.eeoc.gov/sites/default/files/2023-06/22-088\_EEOC\_KnowYourRights6.12ScreenRdr.pdf) . To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/ . Skills and Requirements Master's or PhD in Computer Science, Machine Learning, or related field. 5+ years of experience in machine learning engineering, with a focus on recommendation systems or personalization. Strong expertise in deep learning frameworks (PyTorch or TensorFlow) and building production-grade ML systems. Proven experience with GCP services and ML infrastructure at scale. Proficient in Python, SQL, and cloud-native development. Experience with containerization (Docker) and orchestration (Kubernetes). Track record of deploying ML models to production at scale. null We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion,sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to HR@insightglobal.com.