
10,000+ employees
Founded 1984
🤝 B2B
💰 Post-IPO Debt on 2021-11
B2B • Customer Experience • AI
TTEC is a global customer experience technology and services company that specializes in Customer Experience (CX) strategy, contact center operations, and AI-enhanced services. Serving brands across diverse industries, TTEC employs a unique blend of human talent and AI technology to optimize customer interactions and drive satisfaction. With over 54,000 employees across 80+ contact centers, TTEC provides tailored solutions that enhance customer journeys, improve operational efficiency, and foster long-term loyalty.
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10,000+ employees
Founded 1984
🤝 B2B
💰 Post-IPO Debt on 2021-11
B2B • Customer Experience • AI
TTEC is a global customer experience technology and services company that specializes in Customer Experience (CX) strategy, contact center operations, and AI-enhanced services. Serving brands across diverse industries, TTEC employs a unique blend of human talent and AI technology to optimize customer interactions and drive satisfaction. With over 54,000 employees across 80+ contact centers, TTEC provides tailored solutions that enhance customer journeys, improve operational efficiency, and foster long-term loyalty.
• Own end-to-end ML system execution: data pipelines, training workflows, evaluation systems, inference architecture, and deployment. • Fine-tune and adapt models using state-of-the-art methods such as LoRA, QLoRA, SFT, DPO, and distillation. • Architect and operate scalable inference systems, balancing latency, cost, and reliability. • Design and maintain data systems for high-quality synthetic and real-world training data. • Implement evaluation pipelines covering performance, robustness, safety, and bias, in partnership with research leadership. • Own production deployment, including GPU optimization, memory efficiency, latency reduction, and scaling policies. • Collaborate closely with application engineering to integrate ML systems cleanly into backend, mobile, and desktop products. • Make pragmatic trade-offs and ship improvements quickly, learning from real usage. • Work under real production constraints: latency, cost, reliability, and safety
• Experience building or shipping real Machine Learning systems used by people, not just demos. • Artificial Intelligence (AI) experience required. • Experience working with large models and understanding their failure modes. • Experience writing strong, production-grade code. • You are self-directed, pragmatic, and take full ownership of outcomes. • You communicate clearly and collaborate well in small, high-trust teams. • Tech Stack: GPU-based training and inference system, JAX, Python, and PyTorch.
• medical insurance • Dental • Vision • Savings Plan Options • PTO
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