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Experience Level
Senior
Qualifications
Key Responsibilities:
Create tools, automation, and workflows that alleviate infrastructure-heavy tasks, empowering AI teams to concentrate on experimentation and resolving core challenges.
Design and develop reliable monitoring, logging, and tracing systems to guarantee the performance and reproducibility of ML workflows in production.
Implement and maintain comprehensive machine learning pipelines to facilitate the seamless development, training, and deployment of ML models and intelligent agents.
Engage with large-scale distributed systems, including GPU clusters, to aid in the training, fine-tuning, and evaluation of ML models.
Collaborate with product and development teams to convert high-level objectives into tangible, scalable, and maintainable systems.
Optimize workflows for reproducibility, scalability, and cost-effectiveness while ensuring ML teams remain productive and focused on innovation.
Ideal Candidate Profile:
Proficient in modern MLOps tools, including Kubernetes, cloud platforms (GCP and AWS), and ML orchestration frameworks.
Thorough understanding of the ML lifecycle, from concept to customer-facing implementation.
Ability to manage projects from inception to completion, addressing high-level challenges and overseeing design, experimentation, implementation, and iteration processes.
Customer-focused mindset, with a commitment to understanding and addressing the needs of ML engineers through actionable, scalable, and maintainable architectural solutions.
Experience with contemporary CI/CD systems, such as GitHub Actions or JetBrains TeamCity.
About the job
At JetBrains, we are passionate about code. Since our inception in 2000, our mission has been to develop the most powerful and effective developer tools available. By automating routine checks and corrections, our tools accelerate production, allowing developers to explore, innovate, and create.
As AI-driven support becomes integral to our IDEs, the ML Workflows Engineering team focuses on eliminating infrastructure challenges, optimizing machine learning operations (MLOps), and empowering teams to concentrate on their most impactful work—developing groundbreaking ML models and intelligent agents. In this role, you will significantly contribute to designing tools, automation, and pipelines that facilitate a seamless and intuitive machine learning development experience.
By embracing advanced MLOps practices and engineering excellence, we strive to enhance productivity and simplify ML infrastructure, enabling our teams to push the limits of AI innovation.
About JetBrains s.r.o.
JetBrains is a leading software development company known for creating intelligent tools that enhance developer productivity. Our commitment to innovation and quality has made us a trusted partner for developers worldwide.
Clicking Apply Now takes you to AutoApply where you can tailor your resume and apply.
Unlock Your Potential
Generate Job-Optimized Resume
One Click And Our AI Optimizes Your Resume to Match The Job Description.
Is Your Resume Optimized For This Role?
Find Out If You're Highlighting The Right Skills And Fix What's Missing
Experience Level
Senior
Qualifications
Key Responsibilities:
Create tools, automation, and workflows that alleviate infrastructure-heavy tasks, empowering AI teams to concentrate on experimentation and resolving core challenges.
Design and develop reliable monitoring, logging, and tracing systems to guarantee the performance and reproducibility of ML workflows in production.
Implement and maintain comprehensive machine learning pipelines to facilitate the seamless development, training, and deployment of ML models and intelligent agents.
Engage with large-scale distributed systems, including GPU clusters, to aid in the training, fine-tuning, and evaluation of ML models.
Collaborate with product and development teams to convert high-level objectives into tangible, scalable, and maintainable systems.
Optimize workflows for reproducibility, scalability, and cost-effectiveness while ensuring ML teams remain productive and focused on innovation.
Ideal Candidate Profile:
Proficient in modern MLOps tools, including Kubernetes, cloud platforms (GCP and AWS), and ML orchestration frameworks.
Thorough understanding of the ML lifecycle, from concept to customer-facing implementation.
Ability to manage projects from inception to completion, addressing high-level challenges and overseeing design, experimentation, implementation, and iteration processes.
Customer-focused mindset, with a commitment to understanding and addressing the needs of ML engineers through actionable, scalable, and maintainable architectural solutions.
Experience with contemporary CI/CD systems, such as GitHub Actions or JetBrains TeamCity.
About the job
At JetBrains, we are passionate about code. Since our inception in 2000, our mission has been to develop the most powerful and effective developer tools available. By automating routine checks and corrections, our tools accelerate production, allowing developers to explore, innovate, and create.
As AI-driven support becomes integral to our IDEs, the ML Workflows Engineering team focuses on eliminating infrastructure challenges, optimizing machine learning operations (MLOps), and empowering teams to concentrate on their most impactful work—developing groundbreaking ML models and intelligent agents. In this role, you will significantly contribute to designing tools, automation, and pipelines that facilitate a seamless and intuitive machine learning development experience.
By embracing advanced MLOps practices and engineering excellence, we strive to enhance productivity and simplify ML infrastructure, enabling our teams to push the limits of AI innovation.
About JetBrains s.r.o.
JetBrains is a leading software development company known for creating intelligent tools that enhance developer productivity. Our commitment to innovation and quality has made us a trusted partner for developers worldwide.