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Home›Jobs›Grafana›Senior AI Engineer, GenAI & ML Evaluation Frameworks - 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, GenAI & ML Evaluation Frameworks - Grafana Ops, AI/ML | Canada | Remote

Grafana • Canada (Remote)

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

Skills & Technologies

PythonMachine learningTensorFlowPyTorchKubernetesGrafana

Overview

Grafana is seeking a Senior AI Engineer to develop GenAI and ML evaluation frameworks. You'll work with Python, TensorFlow, and Kubernetes to enhance observability tools. This role requires strong expertise in machine learning and AI technologies.

Job Description

Who you are

You have 5+ years of experience in AI and machine learning, with a strong background in developing evaluation frameworks for generative AI. Your expertise in Python and machine learning frameworks like TensorFlow and PyTorch enables you to build robust solutions that enhance observability tools. You thrive in a remote-first environment and are comfortable collaborating with cross-functional teams to drive innovation.

You possess a deep understanding of Kubernetes and its application in deploying machine learning models at scale. Your experience with Grafana showcases your ability to create visualizations that help users understand complex data. You are passionate about open-source technologies and have a track record of contributing to collaborative projects.

You are a problem solver who enjoys tackling complex challenges and finding innovative solutions. Your strong communication skills allow you to articulate technical concepts to non-technical stakeholders effectively. You are committed to continuous learning and staying updated with the latest advancements in AI and machine learning.

Desirable

Experience with MLOps practices and tools is a plus, as is familiarity with observability tools and metrics. You may have worked in environments that prioritize transparency and autonomy, aligning with Grafana's culture.

What you'll do

In this role, you will lead the development of evaluation frameworks for generative AI and machine learning models. You will collaborate with product teams to understand user needs and translate them into technical requirements. Your work will involve designing experiments to evaluate model performance and iterating on solutions based on feedback.

You will contribute to the architecture and implementation of scalable machine learning systems, ensuring they integrate seamlessly with Grafana's observability tools. Your expertise will help shape the future of AI at Grafana, driving innovation and enhancing user experience.

You will also mentor junior engineers, sharing your knowledge and fostering a culture of learning within the team. Your contributions will directly impact how users interact with Grafana's products, making complex data more accessible and actionable.

What we offer

Grafana Labs provides a remote-first work environment that values collaboration and innovation. You will have the opportunity to work with a diverse team of experts in the field, contributing to open-source projects that impact millions of users worldwide. We offer competitive compensation and benefits, along with a culture that encourages personal and professional growth. Join us in shaping the future of observability and AI technologies.

Interested in this role?

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