
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.
🔥 0 minutes ago
🏄 California – Remote
💵 $160k - $190k / year
⏰ Full Time
🔴 Lead
🤖 Machine Learning Engineer
🦅 H1B Visa Sponsor
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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.
• Build and improve ML components across data, training, evaluation, and inference. • Fine-tune and adapt models as part of larger production systems. • Implement evaluation and testing to understand model behavior. • Help build and maintain data pipelines for real-world and synthetic data. • Debug model issues, performance problems, and production incidents. • Ship improvements iteratively and learn from real user feedback. • Work closely with senior ML engineers and product teams. • Work under real production constraints: latency, cost, reliability, and safety
• Strong foundations in machine learning and modern neural architectures. • Artificial Intelligence (AI) experience required. • Some hands-on experience training, fine-tuning, or deploying ML models. • Comfortable writing production-quality code and learning new tools quickly. • Curious, coachable, and eager to learn from real systems in production. • Able to work through ambiguity with guidance and grow ownership over time. • Bias toward shipping, iteration, and continuous improvement. • Tech Stack: GPU, JAX, ML, Machine Learning, Python, and PyTorch.
• medical insurance • Dental • Vision • Savings Plan Options • PTO
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