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Home›Jobs›Grafana›Senior AI Engineer - Grafana Ops, AI/ML | Canada | Remote
Grafana

About Grafana

Visualize your data with Grafana's powerful platform

🏢 Tech👥 251-1K📅 Founded 2014📍 New York, New York, United States

Key Highlights

  • Over 1 million active users globally
  • $220 million raised in funding
  • $3 billion valuation
  • Headquartered in New York City

Grafana Labs, headquartered in New York City, is the creator of Grafana, a leading open-source analytics and visualization platform used by over 1 million users worldwide. The platform integrates with various data sources, enabling users to create dynamic dashboards and alerts. Grafana Labs has rais...

🎁 Benefits

Employees enjoy competitive salaries, equity options, flexible remote work policies, generous PTO, and a learning budget for professional development....

🌟 Culture

Grafana fosters a remote-friendly culture that prioritizes transparency and collaboration, allowing teams to work effectively across different time zo...

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Grafana

Senior AI Engineer - Grafana Ops, AI/ML | Canada | Remote

Grafana • Canada (Remote)

Posted 1d ago🏠 RemoteSeniorAi engineer📍 Canada
Apply Now →

Skills & Technologies

GrafanaAIMachine learning

Overview

Grafana is seeking a Senior AI Engineer to enhance observability tools through AI-driven insights. You'll work with Grafana's technology stack to help users manage complex data. This role requires expertise in AI and machine learning.

Job Description

Who you are

You have a strong background in AI and machine learning, with experience in building and deploying models that enhance user experience and system performance. You understand the intricacies of observability tools and how AI can be leveraged to make sense of complex data. Your technical skills are complemented by your ability to collaborate effectively with cross-functional teams, ensuring that the solutions you develop align with user needs and business goals.

You thrive in a remote-first environment, demonstrating autonomy and initiative in your work. You are comfortable navigating the challenges of a fast-paced, innovation-driven culture, and you are eager to contribute to a team that values transparency and collaboration. You are open to learning and adapting, recognizing that the field of AI is constantly evolving.

Desirable

Experience with Grafana or similar observability tools is a plus, as is familiarity with cloud platforms and scalable architectures. You may have a background in software engineering, which enhances your ability to integrate AI solutions into existing systems. A passion for open-source technologies and a commitment to continuous improvement will set you apart in this role.

What you'll do

As a Senior AI Engineer at Grafana, you will play a pivotal role in developing AI-driven features that enhance the usability and effectiveness of our observability tools. You will work closely with product managers and engineers to identify opportunities for AI integration, translating complex user requirements into actionable technical solutions. Your responsibilities will include designing and implementing machine learning models, optimizing algorithms for performance, and ensuring that the AI features you develop are robust and scalable.

You will also be involved in data analysis and feature engineering, working with large datasets to extract meaningful insights that inform product development. Collaboration is key in this role; you will engage with various teams to ensure that AI solutions align with overall product strategy and user needs. You will participate in code reviews and contribute to the continuous improvement of our development processes, sharing your knowledge and expertise with your colleagues.

What we offer

Grafana Labs offers a unique opportunity to work in a remote-first environment that prioritizes innovation and collaboration. You will be part of a diverse team that values your contributions and encourages you to grow professionally. We provide competitive compensation and benefits, along with the flexibility to work from anywhere within Canada. Join us in shaping the future of observability tools and making a meaningful impact on how users interact with complex data.

Interested in this role?

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