Machine Learning Engineer responsible for developing and deploying advanced ML and AI solutions at Zendesk. Collaborating with stakeholders to deliver impactful business outcomes using latest machine learning technologies.
About the role
- Machine Learning Engineer responsible for optimizing AI pipelines at Easy2Parts. Join a growing team to revolutionize component sourcing with AI technology.
Responsibilities
- Build, optimize and improve the performance of AI pipelines
- Implement and modularize existing models and data flows (primarily Python, occasionally C++)
- Ensure pipelines are covered by tests and monitoring to guarantee quality and stability
- Ensure scalability, stability and maintainability of the codebase
Requirements
- Several years of experience in Python development (C++ knowledge advantageous)
- Practical experience delivering complex software projects — from structuring and design through to release
- Basic understanding of machine learning models and their integration
- Experience with common frameworks and libraries (e.g., OpenCV, PyTorch)
- Experience with cloud environments (Azure preferred)
- Experience with test automation (pytest, unittest, etc.) and monitoring
- Clean, modular and well-documented coding practices
- Experience with CAD or ERP systems as well as knowledge of performance tuning and GPU optimization is a plus
Benefits
- Attractive compensation model with multiple components (company pension plan, training and development)
- Discounts via Corporate Benefits (corporate fitness, company bike/JobRad, etc.)
- Hybrid working model allowing flexible work from home and from our office
- Responsibility from day one in an ambitious deep-tech environment
- Opportunities for professional development and room for your ideas
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Lead advanced machine learning model development and optimization at PayPal. Collaborate with teams to deploy scalable ML solutions in production environments.
Senior Machine Learning Engineer at Pivotal Health developing ML systems for healthcare reimbursement. Collaborating across teams to build and maintain reliable, production - grade machine learning systems.
Machine Learning Engineer working with Algorithm team on customer onboarding processes. Focus on execution and automation of models using computer vision and AI in sports industry.
Senior Machine Learning Engineer at Troveo designing and optimizing machine learning pipelines for AI video models. Collaborating with cross - functional teams to build scalable video data solutions.
AI/ML Engineer developing AI systems for data security at Nightfall. Collaborating with engineers and contributing to AI features.
Software Engineer focusing on ML infrastructure for drug discovery at Genesis AI. Leading engineering efforts to enhance scalable platforms for generative modeling and large - scale simulations.
Internship in cheminformatics and machine learning at Genesis Molecular AI, driving drug discovery projects and improving internal tools.
AI/ML Engineer developing machine learning systems for TymeX's digital banking platform. Collaborating across teams to enhance customer interaction and personalization through AI technology.
Lead Machine Learning Engineering at Foundation Health, designing and deploying production ML systems. Collaborate with teams to implement AI/ML solutions for impactful healthcare.