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ML Serving Team Lead

Gong.ioTel Aviv, IsraelOnsite
This job is no longer open

As a Machine Learning Serving Team Lead , you will- 


  • Direct a team of ML engineers and Data scientists, known for delivering production-ready solutions.
  • Collaborate with research teams to architect machine learning and deep learning infrastructure that supports the serving of many AI models, their deployment, and monitoring.
  • Foster a culture of excellence, data-driven discussions, healthy skepticism, intellectual curiosity, knowledge sharing, and teamwork. Guide the technical learning, professional development, and career progression of your team members, helping us nurture the technology leaders of tomorrow. Uphold high standards for engineering excellence and drive innovation within Gong’s AI/ML function.
  • Discover and assess new technologies to enhance the performance, cost-effectiveness, maintainability, and reliability of our machine learning systems, and the efficiency and effectiveness of our ML models.

You should apply if you are


  • A technical leader with 3+ years of experience in developing production-ready, end-to-end machine learning services, capable of delving deep into code and architecture, solving complex problems independently and guiding others in doing the same.
  • An experienced team lead with 2+ years of managing ML, data, or ML Ops teams, adept at managing multiple projects, timelines, and priorities effortlessly. You should also be able to adapt quickly to changing circumstances that present new opportunities for Gong.
  • A lifelong learner passionate about staying abreast of the ML serving landscape and influencing its evolution. Equally, someone who is passionate about fostering professional growth and understands how to successfully lead an organization.

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 radical impact. We call this “Own. Solve. Impact.” As the ML Serving Team Lead at Gong, you will spearhead the serving and scaling of machine learning and deep learning models to bolster Gong's AI-centric solutions for customer engagement roles. Collaborating closely with our AI Platform, Product, and business stakeholders, you will strategize and implement plans to meet organizational objectives.

You will guide a team of ML engineers and Data scientists in designing and developing the infrastructure necessary for the serving, automation, scaling, testing, and monitoring of numerous AI models.

About us


Gong unlocks reality to help people and companies reach their full potential. The patented Gong Reality Platform™ empowers companies to take advantage of their most valuable assets – customer interactions, which the Gong platform automatically captures and analyzes. Gong then delivers insights at scale, empowering revenue and go-to-market teams to determine the best actions for winning outcomes.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 work place, we'd love to see you with us.To review Gong's privacy policy, visitwww.gong.io/privacy-policy/ for more details.#LI-TD1

This job is no longer open

Life at Gong.io

Gong is the #1 conversation intelligence platform for B2B sales teams. It helps you convert more of your pipeline into revenue by shining the light on your team's sales conversations. Gong records, transcribes, and analyzes every sales call so you can scale the effectiveness of your sales conversations. Go to www.gong.io to learn more.
Thrive Here & What We Value- Collaborative Approach (cross-functional teamwork)- Customer-Centric Focus (customer insights in content creation)- Innovation and Growth (fast-paced, growth opportunities)- Diversity and Inclusion (personality expression, diverse environment)- Recognition and Awards (industry excellence recognition)- Competitive Compensation- Hybrid Working Model (flexible work arrangements)- Product Expertise (content creation across product line)- Practice Development Initiatives (professional growth opportunities)- Mental Health Support (employee wellbee benefits)
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