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
- Senior Machine Learning Engineer developing and managing AI projects at GFT Technologies. Leading data pipelines and supervising team members for advanced machine learning applications
Responsibilities
- Develop advanced AI and machine learning projects
- Build data pipelines for complex statistical models
- Supervise and guide a team of up to 5 persons
- Collaborate with project managers and clients
- Conduct code reviews and provide constructive feedback
- Review and document model releases
Requirements
- 5+ years of experience in Machine Learning
- Proficiency in Python, R, SQL
- Experience with TensorFlow, Keras, and PyTorch
- Strong knowledge of statistical models
- Ability to document and communicate technical processes
- Experience leading small teams is a plus
- Professional proficiency in English.
Benefits
- Competitive salary
- Flexible working hours
- Professional development budget
- Home office setup allowance
- Global team events
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.
Internship in cheminformatics and machine learning at Genesis Molecular AI, driving drug discovery projects and improving internal tools.
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.
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.