Machine Learning Engineer
Core
Design, develop, and deploy machine learning models for client projects, integrating them into products and services.
Role type
Senior Machine Learning Engineer (MLOps)
Builds
Production-ready ML models and MLOps pipelines for consulting clients
Domain
IT Consulting / Data Solutions
Deliverable
production ML models
Required skills
Machine learning fundamentals, MLOps pipelines, Python programming, TensorFlow frameworks, software engineering best practices
Preferred skills
Experience with model optimization and scalability, research and evaluation of new ML techniques
Technologies
TensorFlow, Python
Responsibilities
Design, develop, and put into production ML models using TensorFlow and Python; Set up MLOps pipelines to automate deployment, monitoring, and maintenance; Collaborate with engineering, data, and solution teams to integrate models into products; Optimize model performance and ensure scalability; Participate in research and evaluation of new machine learning techniques
Seniority
Senior, hands-on IC
