Senior MLOps Engineer
Description For Senior MLOps Engineer
Edelman, a trusted global communications firm, is seeking a Senior MLOps Engineer to lead their AI initiatives. This role presents an exciting opportunity to work with cutting-edge technologies including Generative AI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) techniques. The position focuses on building intelligent, data-driven systems that deliver powerful PR insights and developing agentic workflows for scalable solutions.
The role combines technical expertise with strategic thinking, requiring proficiency in modern data stack technologies and AI frameworks. You'll be responsible for developing and maintaining scalable MLOps pipelines, optimizing cloud infrastructure, and implementing best practices for model versioning and governance. The position offers the chance to work with state-of-the-art tools while solving complex challenges in a supportive environment.
As a Senior MLOps Engineer, you'll collaborate across teams to streamline workflows and ensure system reliability. The role requires expertise in Python, ML libraries, cloud platforms, and container orchestration. You'll work with tools like Databricks, MLflow, and various monitoring solutions to build robust AI systems.
The company offers a competitive salary range of €65,000 - €80,000 annually, along with benefits and opportunities for growth. Edelman values diversity and inclusion, encouraging applications from candidates whose experience might not perfectly align with every qualification. The position offers remote work flexibility and the chance to make a significant impact on projects that push the boundaries of AI-powered insights and automation.
Responsibilities For Senior MLOps Engineer
- Develop and maintain scalable MLOps pipelines for GenAI applications
- Deploy and optimize GenAI models, including LLMs in production environments
- Develop solutions using traditional AI techniques
- Implement and manage CI/CD pipelines for ML workflows
- Optimize cloud infrastructure for cost-efficient training
- Define and enforce best practices for model versioning and governance
- Monitor and troubleshoot production systems
- Utilize Databricks to build and manage data and ML pipelines
- Evaluate and integrate MLOps tools and frameworks
- Stay updated on GenAI technologies advancements
Requirements For Senior MLOps Engineer
- Bachelor's or Master's degree in Computer Science, Engineering, or related field
- 5+ years of experience in MLOps, DevOps, or related roles
- Proven expertise in deploying Generative AI models
- Proficient in Python and ML libraries
- Skilled in cloud platforms (AWS, GCP, Azure)
- Hands-on experience with Docker, Kubernetes
- Expertise with Databricks
- Familiarity with MLflow, DVC, Prometheus, and Grafana
- Experience implementing security and compliance standards
- Strong problem-solving and communication skills
- Experience with support of junior team members
- Fluency in written and spoken English
Jobs Related To Daniel J Edelman Holdings Senior MLOps Engineer
