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Senior MLOps Engineer

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Edelman

7d ago

  • Job
    Full-time
    Senior Level
  • Data
    IT & Cybersecurity
  • Madrid
  • Quick Apply

AI generated summary

  • You need a degree in CS or Engineering, 5+ years in MLOps, expertise in Generative AI models, Python, cloud services, Docker, Kubernetes, Databricks, and experience with monitoring and security standards.
  • You will develop and maintain MLOps pipelines, deploy and optimize GenAI models, manage CI/CD workflows, optimize cloud infrastructure, and troubleshoot production systems while integrating MLOps tools.

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
  • Experience with large-scale distributed training and fine-tuning of GenAI models.
  • Familiarity with prompt engineering and model optimization techniques.
  • Contributions to open-source projects in the MLOps or GenAI space.
  • Familiarity with PySpark for distributed data processing.

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.

FAQs

What is the job title for this position?

The job title is Senior MLOps Engineer.

What kind of experience is required for this role?

A minimum of 5 years of relevant experience in MLOps, DevOps, or related roles focusing on machine learning and artificial intelligence is required.

What technologies will I be working with in this position?

You will be working with Generative AI, Large Language Models (LLMs), cloud platforms (AWS, GCP, Azure), and MLOps tools such as Databricks, Docker, Kubernetes, TensorFlow, and PyTorch.

Is knowledge of Generative AI and LLMs necessary?

Yes, proven expertise in deploying and managing Generative AI models like GPT, Stable Diffusion, or BERT is necessary for this role.

Will I be responsible for mentoring junior team members?

Yes, the role includes experience with supporting and guiding junior team members.

What are the preferred qualifications for this position?

Preferred qualifications include experience with large-scale distributed training of GenAI models, familiarity with prompt engineering, contributions to open-source projects in the MLOps or GenAI space, and familiarity with PySpark for distributed data processing.

What is the salary range for this position?

The salary range for this position is €60,000 - €75,000 a year.

Are there any additional benefits besides salary?

Yes, other rewards may include annual bonuses, a Paid Time Off policy, and region-specific benefits.

What kind of workplace culture does Edelman promote?

Edelman promotes a culture centered on diversity, equity, inclusion, and belonging, fostering trust, collaboration, and respect among colleagues.

Do I need to have a specific degree to apply?

A Bachelor's or Master's degree in Computer Science, Engineering, or a related field is required.

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Edelman is a global communications firm that partners with businesses and organizations to evolve, promote and protect their brands and reputations. Our 6,000 people in more than 60 offices deliver communications strategies that give our clients the confidence to lead, act with certainty and earn the lasting trust of their stakeholders. We develop powerful ideas and tell magnetic stories that move at the speed of news, make an immediate impact, transform culture and spark movements. Since our founding in 1952 by Dan Edelman, we have remained an independent, family-run company. We use our profits to strengthen our business, provide our employees with opportunities to grow, advance our industry, and serve as a responsible citizen of the world. Every day, we strive to live and work by a long-held set of core values: the pursuit of excellence, the freedom to be curious, the courage to do the right thing, and a commitment to improving society. Edelman is an equal opportunity employer of all protected classes, including veterans and individuals with disabilities.

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