Senior MLOps Engineer

January 31

Apply Now

Receive Emails with Similar Jobs

Edelman

WebsiteLinkedInAll Job Openings

Edelman is a portfolio of interdependent companies and divisions that provide brands and businesses with a full suite of communications solutions. The company helps businesses enhance and customize content, manage site performance, and integrate social media features. With a focus on communications, Edelman offers services that include analytics, consent management, and security solutions. Known for its expertise in branding and marketing strategies, Edelman is recognized as a significant player in the global communications industry.

Public Relations • Digital Communications • Social Media Marketing • Strategic Communications • Marketing

5001 - 10000 employees

Founded 1952

🤝 B2B

📱 Media

📋 Description

• 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 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. • We are at an exciting point in our journey, leveraging Generative AI (GenAI), Large Language Models (LLMs), and advanced Retrieval-Augmented Generation (RAG) techniques to build intelligent, data-driven systems that deliver powerful PR insights. • You'll also work on developing agentic workflows that autonomously orchestrate tasks, enabling scalable and dynamic solutions. • Our data stack is modern and efficient, designed to process large-scale information, automate analysis pipelines, and integrate seamlessly with AI-driven workflows. • This is an excellent opportunity to make a significant impact on projects that push the boundaries of AI-powered insights and automation. • If you're passionate about building high-performance data systems, working with cutting-edge AI frameworks, and solving complex challenges in a supportive, forward-thinking environment, you'll thrive here!

🎯 Requirements

• Bachelor's or Master’s degree in Computer Science, Engineering, or a related field. • 5+ years of experience in MLOps, DevOps, or related roles, focusing on ML and AI. • Proven expertise in deploying and managing Generative AI models (e.g., GPT, Stable Diffusion, BERT). • Proficient in Python and ML libraries such as TensorFlow, PyTorch, or Hugging Face. • Skilled in cloud platforms (AWS, GCP, Azure) and managed AI/ML services. • Hands-on experience with Docker, Kubernetes, and container orchestration. • Expertise with Databricks, including ML workflows and data pipeline management. • Familiarity with tools like MLflow, DVC, Prometheus, and Grafana for versioning and monitoring. • Experience implementing security and compliance standards for AI systems. • Strong problem-solving and communication skills, with a collaborative mindset. • Experience with support and guidance of junior team members • Fluency in written and spoken English