MLOps Engineer building production ML infrastructure, pipelines, and monitoring for exacare ai’s post - acute care AI platform. Scaling reliable systems that help healthcare teams make safer placement decisions.
About the role
- Machine Learning & Game Tech Architect at CD PROJEKT RED focused on AI and game technologies integration. Responsible for architecture and collaboration across programming and ML teams.
Responsibilities
- Responsible for the architecture of hybrid game and ML systems, serving as the primary contact for integrating machine learning into game systems
- Design, develop and maintain learning and non-learning systems
- Keep current on the latest developments in both ML and game technologies, identifying and exploring relevant applications for the company
- Support programming and ML teams throughout development
- Establish and maintain quality guidelines for our ML applications
- Disseminate ML knowledge across the organization
- Improve the function of one’s team, either through individual achievement or through leadership
- Maintain rich, thoughtful, candid communication with peers in order to ensure the very best results
- Gather, acknowledge, and respond to internal feedback, adjusting design and technological choices as necessary
Requirements
- A minimum of 7 years of experience designing, implementing, and maintaining API’s and applications
- Familiarity with classical AI concepts, such as symbolic processing and production systems
- Familiarity with Machine Learning: experience using leading ML libraries and platforms like TensorFlow, PyTorch and Keras
- Familiarity with modelling human behaviour and Reinforcement Learning is a strong plus
- Proficiency in C, C++, Rust, GO, or other system-level programming languages
- Proficiency in Python
- A track record of introducing ML solutions to traditional computer systems: experience in bringing ML systems into production, and inclination towards applied research
- History of working with high-performance computing and familiarity with the best practices in software optimization
- Familiarity with game engines and real-time simulations
- Intellectually curious
- Humble and curious, constantly seeking learning opportunities, not limiting oneself to the bounds of role or company
- Autonomous: Proactive and self-driven. Capable of taking ambitious high-level goals, making a plan, driving it, and being accountable to the results
- Nice to haves: Master's degree in the fields of Computer Science, Mathematics, Statistics or other data-rich domains, or have an equivalent level of expertise from industry experience
- Unreal Engine experience
- Residence in the Eastern Time Zone (North America) preferred
Benefits
- Company-paid medical healthcare (dental, vision, and mental)
- Free mental health support, including access to counseling, psychiatric care, and a variety of well-being webinars
- Paid leave — 26 days of vacation, 10 sick days, & 12 calendar holidays per year
- RRSP with employer matching
- Lifestyle Spending Account (LSA) – $100 per month to use towards fitness, wellness, internet, home office equipment, learning, streaming services, and more
- Menstrual leave — employees who menstruate can take one extra day off when experiencing period pain
- RED Parents Network — support for working parents, including childcare benefits, and family-friendly events
- Flexible working hours
- Trainings, lectures, and courses — internal workshops, knowledge-sharing initiatives, online tutorials, and e-learning classes are all available
- A welcome pack filled with goodies — to help you feel right at home once you join the team
- Dog-friendly office — bring your pooch with you and look after them while working!
- Truly international working environment — a chance to meet and work with a diverse selection of people from all around the world
- No dress-code — we like to keep it casual
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
Senior Data Engineer building cloud - native data and ML platforms for Hive.co’s event - marketing automation products. Owning pipelines, model infrastructure, and audience - data systems at scale.
Senior Machine Learning Engineer building causal and decision systems for CSC Generation’s AI - native omnichannel retail brands. Deploying machine learning that improves pricing and other commercial decisions.
Director leading agentic AI and machine learning products for Instacart’s grocery technology platform. Building retailer solutions and guiding teams from strategy through production deployment.
New - grad software engineer building Quora’s distributed ML platform, model serving, and developer tooling. Supporting Quora’s global knowledge - sharing product with scalable GPU infrastructure.
Applied Machine Learning Scientist developing Generative AI and predictive ML solutions at TD, a major North American bank. Supporting model evaluation, deployment, monitoring, and responsible AI governance.
Applied Machine Learning Scientist developing Generative AI and predictive ML solutions for TD banking. Evaluating models, managing AI lifecycles, and supporting responsible implementation.
Senior Machine Learning Engineer building conversational AI agents and production ML systems. Helping Numa automate automotive dealership service and sales through evaluation - first tooling and infrastructure.
Senior ML Engineer building production ML, RAG, and agentic AI capabilities for SailPoint’s cloud identity security platform. Driving scalable, customer - focused AI solutions from research to production.
Senior ML Engineer developing debiased pCTR and conversion models for Instacart’s grocery advertising ecosystem. Advancing ranking, retrieval, and sequence modeling across ads surfaces.