Senior MLOps Engineer at Daniel J Edelman Holdings

Barcelona, Catalonia, Spain

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Public RelationsIndustries

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
Preferred Qualifications
Experience with large-scale distributed training and fine-tuning of GenAI models

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

Skills

MLOps

Generative AI

LLMs

RAG

Retrieval-Augmented Generation

Machine Learning Pipelines

Agentic Workflows

Daniel J Edelman Holdings

Develops marketing strategies for Microsoft

About Daniel J Edelman Holdings

Working at Daniel J. Edelman Holdings offers a unique opportunity to be at the forefront of developing comprehensive marketing and communications strategies. This company’s focus on media relations, social media, data analytics, and influencer collaborations in partnership with a major industry player like Microsoft illustrates a strong alignment with technology and strategic growth. The environment encourages collaboration and innovation, allowing employees to hone their skills in a cutting-edge and dynamic sector.

Seattle, WA, USAHeadquarters

N/AYear Founded

VENTURE_UNKNOWNCompany Stage

51-200Employees