MLOps Engineer for EA Loc Data AI Team
hace 1 mes
About the Role:
We are seeking an experienced Machine Learning Operations (MLOps) Engineer to join our EA Loc Data AI team.
Key Responsibilities:
* Design, build, and manage ML pipelines, from data extraction and preparation to model training, evaluation, and deployment.
* Model hyperparameter optimization.
* Model training optimization.
* Automate the ML pipeline using MLOps tools and practices and optimize it for scalability and performance.
* Monitor ML models in production, manage their lifecycle, and ensure their reliability and performance.
* Model version tracking governance.
Requirements:
* Bachelor's or master's degree in Computer Science, Software Engineering, Statistics, Applied Mathematics, or a related field.
* Minimum of 2-3 years of experience in ML Engineering/ MLOps or similar roles.
* Extensive knowledge of machine learning algorithms and principles.
* Proficiency in programming frameworks commonly used in machine and deep learning such as PyTorch, Jax, or Keras.
* Experience in deep learning training optimization libraries/techniques such as Deepspeed, LoRA, PEFT, etc.
* Experience with MLOps tools such as MLFlow, Kubeflow, or Weights and Biases.
* Solid experience with MLOps practices and tools, such as CI/CD, IaC (Infrastructure-as-code) tools (like CloudFormation, Terraform), automated testing, model monitoring, and version control.
* Experience with cloud computing platforms like Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure.
* Strong ability to build partnerships and foster collaboration across teams.
* Proven track record of driving results and innovation in MLOps or machine learning.
* Interest in gaming is a big plus.
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