At NICE, we don’t limit our challenges. We challenge our limits. Constantly. We’re relentless. We’re ambitious. And we make an impact. Our NICErs bring their A game and spend each day turning it into an A+. And if you’re like us, we can offer you the kind of challenge that will light a fire within you.

About NICE Actimize:

NICE Actimize is a global leader in financial crime management solutions for financial institutions. We empower our clients with cutting-edge technology and data-driven insights to detect and prevent financial crime. Our team is at the forefront of innovation, leveraging Generative AI and advanced data science techniques to develop GenAI solutions that set new industry standards.

Responsibilities:

• Leading data science projects from inception to deployment, aligning them with business objectives.
• Researching to explore innovative data science methodologies and technologies.
• Collaborating closely with stakeholders and product development teams to implement data-driven strategies.
• Continuously enhancing existing machine learning models and data processes.
• Effectively communicating insights and recommendations to stakeholders while guiding data-related decision-making.
  
  

Qualifications And Skills

• Advanced degree in computer science, machine learning, artificial intelligence, data science, statistics, or a related field.
• Extensive experience in data science and machine learning, particularly in NLP, Feed Forward Networks, CNNs, RNNs, LSTM, Autoencoder, Variational AEs, GANs, and proficiency in Python, along with a strong understanding of SQL.
• Deep expertise in AI architectures, including transformers, GPT architectures, and foundational principles underlying Large Language Models (LLMs).
• Proficiency in fine-tuning techniques for GPT-based LLMs such as LoRA, QLoRA, QA-LoRA, LoftQ, etc.
• Mastery of evaluating generative models, including metrics specific to generative models like BLEU, Perplexity, ROUGE, Coherence, METEOR, and BERTscore, and creating new metrics if necessary.
• Capability to develop and implement robust evaluation tools for assessing the quality, precision, logic, and stability of generated text, summaries, and recommendations.
• Understanding of hardware relevant to training AI models, optimizations, and other techniques, including quantum computing, if applicable.
• Experience in overseeing data-centric projects and translating insights into business decisions.
• Creative thinking and the ability to propose innovative solutions to complex problems.
• Proficiency in critically analyzing results and methodologies to ensure accuracy and reliability.
• Strong communication skills and mentorship abilities.
  
  

Job Requirements

• A classical education in computer science, mathematics, artificial intelligence, or data science.
• Minimum of 8 years of industry experience in data science.
• In-depth understanding of Generative AI, encompassing architecture, transformers, GPT architectures, and Large Language Models (LLMs) development.
• Proficiency in transfer learning techniques, including fine-tuning, and the ability to differentiate between fine-tuning and using RAG (Retrieval Augmented Generation) with or without vector databases.
• Ability to quickly grasp and analyze academic papers, staying updated with the latest advancements in the field.
• Strong analytical and critical thinking skills, with the ability to view systems holistically and build architectural pipelines in machine learning development.
• Deep Neural Networks: Solid knowledge and experience in working with deep neural networks.
• Familiarity with prompt engineering and recognizing its limitations in addressing complex Generative AI challenges.
• Capability to develop and implement robust evaluation tools to assess the quality, precision, logic, and stability of generated text, summaries, and recommendations.
• Understanding hardware related to training AI models, optimizations, and other techniques.
  
  

Required Experience

• Proven track record of applying data science in a specific industry (e.g., finance, healthcare, technology).
• Experience in managing large-scale data science projects.
• Familiarity with cloud computing platforms, big data technologies, and other relevant software and tools.
• Understanding data privacy, security, and ethical considerations in AI and machine learning.
• Develop and execute data analysis and modeling strategies to support key business initiatives.
• Design and implement innovative machine learning models and algorithms for solving complex business problems.
• Demonstrated ability to analyze large datasets, interpret complex patterns and trends, and derive actionable insights using statistical analysis and data interpretation methods.
• Leadership and collaboration with cross-functional teams, including data engineers, analysts, and stakeholders, to lead complex data-driven projects and ensure efficient teamwork.
• Involvement in relevant research and contributions to notable publications in data science, machine learning, or related areas, showcasing thought leadership and expertise.
• Applying data science to real-world business problems demonstrates the ability to translate technical solutions into tangible business value.
  
  

About NICE Actimize:

NICE Actimize is the largest and broadest provider of financial crime, risk and compliance solutions for regional and global financial institutions, as well as government regulators. Consistently ranked as number one in the space, NICE Actimize experts apply innovative technology to protect institutions and safeguard consumers’ and investors’ assets by identifying financial crime, preventing fraud and providing regulatory compliance.

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.