Machine Learning Operations Specialist
3 weeks ago
Job Summary
We are seeking a highly skilled Machine Learning Operations Specialist to join our team at identifi Global Resources. As a key member of our data science team, you will be responsible for developing and implementing machine learning models and deploying them into production environments.
Key Responsibilities
- Review and improve existing data science models and propose new architectures.
- Document CI/CD pipelines for machine learning models and ensure they are operational by the expected date.
- Collaborate with data scientists, data engineers, and domain experts to collect requirements and establish project goals.
- Implement machine learning algorithms using Python, Scala, and relevant libraries and frameworks.
- Evaluate model performance, conduct A/B testing, and iteratively improve model accuracy and efficiency.
- Implement MLOps best practices to improve the development, deployment, and monitoring of ML models.
Requirements
- Experience as a ML Ops Engineer is essential.
- Experience of developing and implementing ways of working.
- Experience in Developing and enforcing best practices for machine learning lifecycle management using Azure Databricks.
- Good to have skills in containerization like Docker and ACR.
- High-level expertise in the Python programming language including PySpark.
- Proficiency in utilising machine learning libraries and frameworks like PyTorch, ONNX, and XGBoost.
- Strong understanding of software testing and CI/CD principles and version control (Git, MLFlow) for automated deployment of machine learning systems.
- Familiarity with our systems (Azure cloud platform covering Azure DevOps Pipelines, Azure Functions, AzureML, Azure Databricks, CosmosDB) is desirable.
- Excellent problem-solving skills and analytical thinking.
- Strong communication and collaboration skills.
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