Senior MLOps Engineer

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.

At Edelman we understand diversity equity inclusion and belonging (DEIB) transform our colleagues our company our clients and our communities. We are in relentless pursuit of an equitable and inspiring workplace that is respectful of all reflects and represents the world in which we live and fosters trust collaboration and belonging.

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 Youll 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. Youll 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 youre passionate about building high-performance data systems working with cutting-edge AI frameworks and solving complex challenges in a supportive forward-thinking environment youll thrive here!

Responsibilities :

• Develop and maintain scalable MLOps pipelines for GenAI applications.
• Deploy and optimize GenAI models including large language models (LLMs) such as GPT and similar architectures in production environments.
• Develop solutions leveraging traditional AI techniques such as decision trees clustering and regression analysis to complement advanced AI workflows
• 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.
• Define and enforce best practices for model versioning reproducibility and governance.
• Monitor and troubleshoot production systems to minimize downtime.
• Utilize Databricks to build and manage data and ML pipelines integrated with GenAI and LLM workflows.
• Evaluate and integrate state-of-the-art MLOps tools and frameworks for LLMs and other GenAI models.
• Stay updated on advancements in GenAI technologies including LLM fine-tuning and serving and contribute to strategic initiatives.

Qualifications :

Preferred Qualifications :

65000 - 80000 a year

An employees 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 DJEHs total compensation package for employees. Other rewards may include annual bonuses a Paid Time Off policy and region-specific benefits.

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We are dedicated to building a diverse inclusive and authentic workplace so if youre excited about this role but your experience doesnt perfectly align with every qualification we encourage you to apply anyway. You may be just the right candidate for this or other roles.

Required Experience :

Senior IC

Key Skills

APIs,C / C++,Computer Graphics,Go,React,Redux,Node.js,AWS,Library Services,Assembly,GraphQL,High Voltage

Employment Type : Full-Time

Experience : years

Vacancy : 1