13 hours ago
Responsibilities
- Monitor new state-of-the-art models and assess their relevance to Cognigy use cases.
- Design and run AI model evaluations, including human-judged protocols and validation of automated metrics.
- Execute fine-tuning, quantization, distillation, and efficient-inference strategies to improve quality, latency, and cost.
- Deploy and benchmark open-weight models on cloud platforms and compare hosting platforms.
- Build proof-of-concept implementations demonstrating model recommendations.
- Provide technical review and guidance on teammates’ model optimization work.
- Communicate findings and recommendations to technical and non-technical stakeholders.
Requirements
- MS in computer science, machine learning, data science, or a related field.
- At least 3 years of post-graduate hands-on experience with ML models, including training, fine-tuning, and evaluation.
- Experience with model optimization techniques such as quantization, distillation, or efficient inference.
- Experience designing evaluations or benchmarks for AI systems, including subjective or human-rated measures.
- Proficiency in Python and PyTorch or TensorFlow.
- Experience with cloud ML infrastructure such as AWS, Azure, or GCP for model testing and deployment.
- Preferred experience evaluating or fine-tuning TTS or speech-to-speech models for production or related audio and speech work.
- Preferred exposure to agentic AI frameworks or conversational AI platforms.
- Preferred experience with Docker, microservice deployment, and GPU inference serving.
- Ability to collaborate cross-functionally, adapt to changing priorities, and present clearly to internal and external stakeholders.
Benefits
- NiCE-FLEX hybrid work model with 2 days in the office and 3 days remote each week.
- Fast-paced, collaborative, and creative global work environment.
- Learning, growth, and internal career opportunities across roles, disciplines, domains, and locations.
Categories
About NICE
NICE builds cloud contact center platforms, customer analytics, and workforce optimization tools for enterprises and public sector agencies, including public safety recording. Its portfolio includes CXone (CCaaS), digital self-service, interaction recording, RPA, and financial crime and compliance solutions through NICE Actimize. Founded in 1986 and headquartered in Hoboken, New Jersey, NICE is a public company traded on NASDAQ under the ticker NICE, serving customers in 150+ countries.