Senior MLOps Engineer

August 26

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Edelman

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B2B • Media

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.

5001 - 10000 employees

Founded 1952

🤝 B2B

📱 Media

📋 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. • Why You'll Love Working with Us • 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

🏖️ Benefits

• An employee’s pay position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, travel requirements, revenue-based metrics, any contractual agreements, and business or organizational needs. The range listed is just one component of DJEH’s total compensation package for employees. Other rewards may include annual bonuses, a Paid Time Off policy, and region-specific benefits.