About Data Masters

Data Masters is a company specialized in the field of Data Science. We are a dedicated and passionate team, extremely motivated to address the challenges of any company and help them become Masters of their Data.

Our team members possess knowledge and expertise in Data Warehousing, Data Engineering, Machine Learning, and Analytical Product Development. We support clients from all over the world, and we would love to welcome new team members that share our passion, mission, and vision.

Apply and master your talent with us.

Job description

We are looking for an MLOps Engineer to deliver AI solutions to clients with the goal of helping them integrate AI systems into their products and internal processes. Additionally, when the client desires, we help them level up their internal autonomy so that eventually they can maintain and deploy new AI systems by themselves.

 

As our clients are often starting from a classical IT stack, we often help them design and integrate from scratch the necessary data and ML systems into their environment (usually one of the big cloud providers) to allow the deployment and long-term support of our solutions.

Responsibilities

  • You participate in maintaining our MLOps best practices and tool selection
  • Work closely with data engineers and data scientists to optimize our delivery process
  • Design the data pipelines and engineering infrastructure to support our clients’ enterprise machine learning systems at scale
  • Take offline models data scientists build and turn them into a real machine learning production system
  • Develop and deploy scalable tools and services for our clients to handle machine learning training and inference
  • Identify and evaluate new technologies to improve the performance, maintainability, and reliability of our clients’ machine learning systems
  • Apply software engineering rigor and best practices to machine learning, including CI/CD, automation, etc.
  • Support model development, with an emphasis on audibility, versioning, and data security
  • Facilitate the development and deployment of proof-of-concept machine learning systems
  • Communicate with clients to build requirements and track progress

Skills and Qualifications

  • BSc/BA in Computer Science, Engineering or relevant field
  • Software engineering and automation skills
  • Comfort with Linux administration
  • Ability to design and implement cloud solutions (AWS, Azure, or GCP)
  • Experience with Docker and Kubernetes
  • Ability to build MLOps pipelines
  • Good understanding of Linux
  • Knowledge and understanding of frameworks such as Keras, PyTorch, Tensorflow
  • Ability to understand tools used by data scientists
  • Experience in using popular MLOps frameworks like Kubeflow, MLFlow, DVC or DataRobot
  • Data-oriented personality
  • Strong communication skills
  • Analytical skills
  • Data Visualization and presentation skills
Learn About Our Benefits

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