Job Description
At NICE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.
So, what’s the role all about?
NICE provides state-of-the-art enterprise level AI and analytics for all forms of business communications between speech and digital. We are a world class research team developing new algorithms and approaches to help companies with solving critical issues such as identifying their best performing agents, preventing fraud, categorizing customer issues, and determining overall customer satisfaction. If you have interacted with a major contact center in the last decade, it is very likely we have processed your call.
The research group partners with all areas of NICE’s business to scale out the delivery of new technology and AI models to customers around the world that are tailored to their company, industry, and language needs.
How will you make an impact?
Conduct cutting-edge research and develop advanced NLP algorithms and models.
Build and fine-tune deep learning and machine learning models, with a focus on large language models.
Work closely with internal stakeholders to define model requirements and ensure alignment with business objectives.
Develop AI predictive models and perform data and model accuracy analyses.
Produce and present findings, technical concepts, and model recommendations to both technical and non-technical stakeholders.
Develop and maintain scripts/tools to automate both new model production and updates to existing model packages.
Stay abreast of the latest advancements in data science research and contribute to the development of our knowledge base.
Collaborate with developers to design automation and tool improvements for model building.
Maintain documentation of processes and projects across all supported languages and environments.
Have you got what it takes?
Master's degree in the field of Computer Science, Technology, Engineering, Math, or equivalent practical experience
Minimum of 4-7 years of data science work experience, including implementing machine learning and NLP models using real-life data.
Strong research skills, with a proven track record of developing and implementing advanced machine learning algorithms.
Advanced knowledge of supervised and unsupervised machine learning algorithms.
Excellent proficiency in Python programming.
Experience with deep learning models and libraries such as PyTorch, TensorFlow,
Hands-on experience with transformer models and Gen AI frameworks (HuggingFace, AWS Bedrock, Azure Foundry ).
Strong verbal and written communication skills, including effective presentation abilities.
Ability to work independently and as part of a team, demonstrating analytical thinking and problem-solving skills.
You will have an advantage if you also have:
Experience deploying models in production environments, ensuring scalability and performance using AWS/GCP/Azure
Familiarity with relational databases and query languages (e.g., MSSQL) and basic SQL knowledge.
Experience with Retrieval-Augmented Generation (RAG) pipelines
Understanding of multimodal models (text, audio, vision).
Experience in Customer Experience domains.
Experience working on international, globe-spanning teams.
Past participation in a formal research setting.
Experience as part of a software organization
What’s in it for you?
Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NICEr!
Enjoy NICE-FLEX!
At NICE, we work according to the NICE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.
Requisition ID: 7294Reporting into: Tech ManagerRole Type: Individual Contributor
About NICE
NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NICE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions.
Known as an innovation powerhouse that excels in AI, cloud and digital, NICE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries.
NICE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.
NICE Systems is a provider of Insight from Interactions solutions and value-added services, powered by the convergence of advanced analytics of unstructured multimedia content and transactional data from telephony, web, email, radio, video, and other data sources. Many of the world’s leading companies and organizations are expected to manage these three critical elements of modern living. To do so, they are tapping into the power of data, which has become ubiquitous in both business and life. These organizations turn to NICE to operationalize this data to improve business performance, increase operational efficiency, prevent financial crime, ensure compliance, and enhance safety and security. Since 1986, NICE has been the recognized leader in these fields, providing solutions which turn both structured and unstructured data into valuable and actionable information. Their success started by capturing interactions and their expertise has evolved into applying analytics on these interactions. Combined with their years of cultivating domain expertise in partnership with their customers, they can help their customers not only understand what’s happening in real time, they can predict what will be. NICE has over 6,000 employees and a presence in more than 150 countries. Their team is proud of their many achievements. NICE is regularly recognized for innovation and the value it provides to more than 25,000 customers, including more than 85 of the Fortune 100. When it comes to turning information overload into practical business value, no one else comes close to NICE.
