As an MLOps Engineer at Gong, you will lead the development and scaling of our machine learning training infrastructure to support Gong’s AI-driven solutions. You’ll work closely with our Research teams, ML Serving team, and business stakeholders to define strategies and implement plans that align with our organizational goals.
As an Senior MLOps Engineer, you will:
- Develop Gong’s machine learning platform, including shared libraries, development standards, CI/CD pipelines, and utilities that streamline and standardize ML development across our AI and research teams.
- Collaborate with research teams to design and build machine learning and deep learning infrastructure that enables large-scale training, experimentation, and validation of AI models.
You should apply if you:
- Are an experienced Python developer with 5+ years of industry experience, including 3+ years in building ML systems.
- Have strong infrastructure skills, enjoy diving deep into code and system architecture, and are capable of shaping the team’s roadmap and vision while guiding others to execute it.
- Are open to multidisciplinary work including DevOps, internal tools development (both frontend and backend), AI tools integration, and configuration of third-party tools.
- Are a people person with a service-oriented mindset, comfortable managing multiple projects and priorities in a dynamic environment.
*We operate in a flexible hybrid work model.
What makes the AI Platform department at Gong unique?
Here at Gong, we trust and empower our employees with ownership to solve complex problems, make the right decisions, and build the best products that create a radical impact. We call this “Own. Solve. Impact.”
About us
Gong empowers everyone in revenue teams to improve productivity, increase predictability, and drive revenue growth by deeply understanding customers and business trends; driving impactful decisions and actions. The Gong Revenue AI Platform captures and contextualizes customer interactions, surfaces insights and predictions, and powers actions and workflows that are essential for business success. More than 4,500 companies around the world rely on Gong to unlock their revenue potential. For more information, visit www.gong.io.Here at Gong, we encourage our employees to express their personality and identity (whether gender, ethnic, religious, or sexual), and we ensure fairness and equal opportunities.
We follow a hybrid working model that combines working from home, on the go, or at the office. This allows us flexibility, autonomy, positive work relationships, and effective work habits.If these considerations are important to you when choosing a workplace, we'd love to see you with us.To review Gong's privacy policy, visitwww.gong.io/privacy-policy/ for more details.#LI-TD1
