Senior MLOps Engineer

### Company Overview Edelman is a voice synonymous with trust, reimagining a future where the currency of communication is action. Our culture thrives on three promises: boldness is possibility, empathy is progress, and curiosity is momentum. We are committed to diversity, equity, inclusion, and belonging (DEIB) to transform our colleagues, our company, our clients, and our communities. ### Job Description We are currently seeking a **Senior MLOps Engineer** with 5+ years of relevant experience to lead the design, deployment, and optimization of scalable machine learning pipelines, focusing on Generative AI and large language models (LLMs). You will collaborate across teams to streamline workflows, ensure system reliability, and integrate the latest MLOps tools and practices. ### Responsibilities - Develop and maintain scalable MLOps pipelines for GenAI applications. - Deploy and optimize GenAI models, including LLMs such as GPT, in production environments. - Implement and manage CI/CD pipelines for ML workflows, including testing, validation, and deployment. - Optimize cloud infrastructure for cost-efficient training and serving of GenAI and LLM models. - Monitor and troubleshoot production systems to minimize downtime. ### Qualifications - Bachelor's or Master's degree in Computer Science or Engineering. - Proven experience in building and deploying machine learning models. - Strong knowledge of MLOps practices and tools. - Familiarity with cloud platforms and data engineering principles. If you're passionate about building high-performance data systems and solving complex challenges in a supportive, forward-thinking environment, you'll thrive here!