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Senior MLOps Engineer

72% Flex
Remote: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

Minimum 4 years in AI, DevOps, or ML roles, Google Cloud or AWS MLOps certs.

Key responsabilities:

  • Deploy and monitor ML models
  • Optimize CI/CD for model deployment
  • Manage model versions and APIs
Beyond logo
Beyond Design SME http://www.bynd.com/
51 - 200 Employees
See more Beyond offers

Job description

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Your missions

At Beyond, we partner with people who want to design a better future.

We are a design and technology company.

We design and build products, platforms, and programs for the world's most ambitious brands; including Google, Snapchat, Facebook, Netflix, and Diageo.

We are a diverse group of designers, strategists, engineers, and wordsmiths who make things that people love to use.

Role Overview

  • Beyond is looking for a versatile Senior MLOps Engineer to join our team in Europe. This individual will work within a team of Machine Learning, Data, and MLOps Engineers and will be responsible for the deployment and monitoring of Machine Learning models, with a strong focus on generative AI and LLM-based agents.

  • Working under the guidance of the Lead AI Engineer, this role is primarily hands-on.

As a Senior MLOps Engineer, you will focus on the following areas:

  • ML/LLM Pipelines: deploy and maintain efficient and error free ML model pipelines
  • ML/LLM CI/CD: establish and optimise continuous integration and continuous deployment for training, testing, and deployment of models
  • ML/LLM Model Monitoring: monitor models in production to minimise decay and maximise availability
  • ML/LLM Model Versioning: manage multiple versions of models, being able to roll them back, if necessary
  • API Endpoints: establish, maintain, and deploy API endpoints, ensuring that engineers can interact with them in a secure and efficient way

As a Senior MLOps Engineer, we’d look for you to be able to bring:

  • Experience: Minimum of 4 years in artificial intelligence, DevOps, or Machine Learning related positions
  • Communication Skills: High proficiency in English (both written and oral).
  • Problem-Solving Skills: Strong capability in identifying issues and formulating effective solutions.
  • Certifications: Google Cloud or AWS MLOps related certifications are highly desirable

As an accomplished AI professional, you would have had significant exposure to the following technologies:

  • Machine Learning: Google Vertex AI, TensorFlow, PyTorch, scikit-learn, etc
  • Ops:
    • Google Cloud’s MLOps
    • GCP Cloud Build
    • LLMOps
  • Generative AI:
    • Frameworks
      • LangChain
    • LLMs: 
      • Google: Gemini, PaLM2, Imagen
      • OpenAI: GPT4, GPT3.5
      • Anthropic: Claude
      • Hugging face open source models
  • Cloud Computing: Google Cloud Platform, AWS, Azure
  • Data: 
    • Analytics:
      • R
      • MatLab
      • Jupyter
      • Pandas
    • BigData:
      • GCP BigQuery, Snowflake, Hadoop, DataFlow

Having been named among Sunday Times Best 100 Companies, we believe culture plays a large role in what we offer as an organization. We actively promote diversity in all its forms across our Studios and we proudly, passionately, and proactively strive to create a culture of inclusivity and openness for all our employees.

Beyond is committed to welcoming everyone, regardless of gender identity, orientation, or expression. Our mission is to remove exclusivity and barriers and encourage new thinking and perceptions, in a space of belonging. It is not about race, gender, or age, it is about people. And without our people being their most creative and innovative selves, we are nothing.

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Industry :
Design
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Soft Skills

  • motivational-skills
  • verbal-communication-skills

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