Senior MLE - MLOps, Python, GCP, VertexAI, GKE

Responsibilities:

• Managing the deployment and maintenance of machine learning models in production environments and ensuring seamless integration with existing systems.
• Monitoring model performance using metrics such as accuracy, precision, recall, and F1 score, and addressing issues like performance degradation, drift, or bias.
• Troubleshoot and resolve problems, maintain documentation, and manage model versions for audit and rollback.
• Analyzing monitoring data to preemptively identify potential issues and providing regular performance reports to stakeholders.
• Optimization of the queries and pipelines.
• Modernization of the applications whenever required

Qualifications:

• Expertise in programming languages like Python, SQL
• Solid understanding of best MLOps practices and concepts for deploying enterprise level ML systems.
• Understanding of Machine Learning concepts, models and algorithms including traditional regression, clustering models and neural networks (including deep learning, transformers, etc.)
• Understanding of model evaluation metrics, model monitoring tools and practices.
• Experienced with GCP tools like BigQueryML, MLOPS, Vertex AI Pipelines (Kubeflow Pipelines on GCP), Model Versioning & Registry, Cloud Monitoring, Kubernetes, etc.
• Solid oral and written communication skills and ability to prepare detailed technical documentation of new and existing applications.
• Strong ownership and collaborative qualities in their domain. Takes initiative to identify and drive opportunities for improvement and process streamlining.
• Bachelor’s Degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience.

Bonus Qualifications:

• Experience in Azure MLOPS,
• Familiarity with Cloud Billing.
• Experience in setting up or supporting NLP, Gen AI, LLM applications with MLOps features.
  • Experience working in an Agile environment, understanding of Lean Agile principles.