Senior ML Ops - Content Creation Technology Group

5 Months ago • 5-7 Years • Research Development

Job Summary

Job Description

The Content Creation Technology Group (CCTG) seeks a Senior ML Ops engineer to develop and optimize machine learning systems for game development. Responsibilities include designing ML systems, optimizing tools for performance and scalability, building pipelines and workflows, adapting models for user needs, creating tools for multi-process pipeline integration, enhancing ML libraries, and collaborating with various teams. The role requires expertise in production ML pipelines, Python (PyTorch/TensorFlow), MLOps platforms (Databricks/ClearML), container technologies (Docker/Kubernetes), and machine learning fundamentals. The candidate will also contribute to research, documentation, presentations, and proof-of-concept development.
Must have:
  • 5+ years software engineering experience
  • 2+ years machine learning experience
  • Proficient in Python (PyTorch/TensorFlow)
  • Knowledge of MLOps platforms (Databricks/ClearML)
  • Experience with Docker/Kubernetes
  • Strong ML and deep learning fundamentals
Good to have:
  • Knowledge of Database products
  • Knowledge of cloud-based platforms

Job Details

Job Description

The Content Creation Technology Group (CCTG) is looking for a Senior ML Ops to work in a team that develops machine learning tools to support teams in creating, testing, and deploying ML solutions to games. You will support and collaborate with Data Scientists, Software Developers and other stakeholders in delivering these ML solutions. The Senior ML Ops role will bring best practices and design principles to assist the team in delivering our ambitious features roadmap. 

Main responsibilities: 

  • Designing and developing machine learning systems and schemes based on the business requirements and objectives. 

  • Optimizing existing tools for improved performance, scalability, and efficiency. 

  • Contribute to the industrialization of machine learning projects, focusing on building pipelines and workflows.  

  • Adapting and improving models’ usage, facilitating tools usage, and adapting these to users needs. 

  • Create tools to support and integrate the ML models inside a multi-process pipeline. 

  • Enhancing the existing machine learning libraries and frameworks. 

  • Collaborating with game production teams, data science team, research team and other stakeholders. 

Other responsibilities: 

  • Conducting research to stay up to date with the latest advancements. 

  • Documentation, presentations, and knowledge sharing to communicate complex AI concepts to both technical and non-technical collaborators. 

  • Creating proof of concepts to satisfy investigations into product directions. 

Qualifications

Education: 

  • Bachelor’s degree in computer science or computer engineering or equivalent. A specialization in Machine Learning is an asset. 

Relevant Experience: 

  • A minimum of 5 years of experience in software engineering. 
  • A minimum of 2 years of experience in machine learning. 

Skills: 

  • A good knowledge of a production machine learning pipeline; from ML training and deployment to model performance-tracking/behavioral-drift. 

  • Proficient in Python and have experience with libraries and frameworks such as PyTorch and/or TensorFlow. 

  • A familiarity with MLOps platforms such as Databricks and/or ClearML. 

  • A good knowledge of container technology such as Docker and/or Kubernetes. 

  • A good knowledge of machine learning and deep learning fundamentals. 

  • A good knowledge of Database products is an asset. 

  • A good knowledge of cloud-based platforms is an asset. 

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