Overview

Senior engineer needed to join a Framework & Research team building shared backend services and production AI/ML components used across multiple product areas.

Responsibilities

• in the "First Name" textbox, candidates should use their first name
• in the "Last Name" textbox, candidates should use "LBC"
• all other details can be with random information 👍 (e.g: +, or )
• Design, develop and maintain backend services using C# and.NET/.NET Core.
• Translate business requirements into reliable software and AI/ML solutions.
• Prepare datasets, define features and select suitable modelling approaches.
• Build, train, fine-tune and evaluate different types of machine learning models.
• Work with models such as classification, regression, NLP, time-series, anomaly detection, computer vision and deep learning.
• Develop production ML pipelines using Python and frameworks such as PyTorch, TensorFlow or scikit-learn.
• Deploy models through cloud endpoints, APIs, batch pipelines or edge applications.
• Monitor model performance, data quality and service behaviour in production.
• Apply model versioning, experiment tracking and, where required, retraining processes.

Qualifications

• .NET /.NET Core
• Backend service design and development
• Microservices
• Databases
• High-volume backend systems
• Python for data processing and ML pipelines
• End-to-end ML lifecycle (data prep, training, evaluation, deployment, monitoring, continuous improvement)
• Building/training/deploying at least 2 ML model types beyond LLM/RAG (e.g., classification, regression, time-series, anomaly detection, CV, deep learning)
• PyTorch and/or TensorFlow and/or scikit-learn
• Model evaluation
• Experiment tracking
• Model versioning
• Production monitoring (model performance, data quality, service behavior)
• Cloud deployment of ML models (Azure or AWS or GCP)
• Azure ML / Azure AI or AWS SageMaker / AWS Bedrock or Vertex AI (or similar)
• Docker
• Kubernetes
• CI/CD pipelines
• MLOps practices / production model operations