
10,000+ employees
Founded 1984
đ€ B2B
đ° Post-IPO Debt on 2021-11
B2B âą Customer Experience âą 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.
đ Yesterday
đ California â Remote
đ” $190k - $225k / year
â° Full Time
đ Senior
đ€ AI Engineer
đŠ H1B Visa Sponsor
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10,000+ employees
Founded 1984
đ€ B2B
đ° Post-IPO Debt on 2021-11
B2B âą Customer Experience âą 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.
âą Own end-to-end ML system execution: data pipelines, training workflows, evaluation systems, inference architecture, and deployment. âą Fine-tune and adapt models using state-of-the-art methods such as LoRA, QLoRA, SFT, DPO, and distillation. âą Architect and operate scalable inference systems, balancing latency, cost, and reliability. âą Design and maintain data systems for high-quality synthetic and real-world training data. âą Implement evaluation pipelines covering performance, robustness, safety, and bias, in partnership with research leadership. âą Own production deployment, including GPU optimization, memory efficiency, latency reduction, and scaling policies. âą Collaborate closely with application engineering to integrate ML systems cleanly into backend, mobile, and desktop products. âą Make pragmatic trade-offs and ship improvements quickly, learning from real usage. âą Work under real production constraints: latency, cost, reliability, and safety
âą Experience building or shipping real Machine Learning systems used by people, not just demos. âą Artificial Intelligence (AI) experience required. âą Experience working with large models and understanding their failure modes. âą Experience writing strong, production-grade code. âą You are self-directed, pragmatic, and take full ownership of outcomes. âą You communicate clearly and collaborate well in small, high-trust teams. âą Tech Stack: GPU-based training and inference system, JAX, Python, and PyTorch.
âą medical insurance âą Dental âą Vision âą Savings Plan Options âą PTO
Apply Nowđ Yesterday
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Airflow
Pandas
Python
PyTorch
Ray
Scikit-Learn
Spark
TypeScript