Senior Machine Learning Engineer
Core
Build and deploy AI-native systems that reinvent business operations and deliver productised AI at scale.
Role type
Senior Machine Learning Engineer (applied research & deployment)
Builds
AI-native systems and productised AI solutions for enterprise clients
Domain
Regulated industries, enterprise AI, business process reinvention
Deliverable
production ML models
Required skills
Python programming, deep learning (RNNs, CNNs), clustering, regression, classification (supervised/unsupervised/RL), ML/DL libraries (Scikit-learn, TensorFlow, Keras, PyTorch), Unix/Linux, REST APIs, microservices
Preferred skills
Data/AI platforms (Databricks, Dataiku, Snowflake), web development
Technologies
Scikit-learn, TensorFlow, Keras, PyTorch, Matplotlib, Seaborn, Bokeh, Power BI, Tableau, D3.js
Responsibilities
Work on applied research projects using state-of-the-art ML techniques, deploy models for user leverage, understand business context for feature adoption, present results to non-technical stakeholders
Seniority
Senior, hands-on IC
