Principal Data Scientist

The Role

Provide technical direction in the creation, delivery, and integration of multiple and moderately complex software solutions. May translate business requirements into specific designs and/or participate in the design, evaluation, and selection of IT solutions for software for a specific business process. Establish current and future use of the practice, metrics, and methodologies to determine current and future solutions. Explore and evaluate new and approved technologies. Consult on the application of existing and new, approved technologies to develop solutions. Ensure the process of creation and delivery of design and solution in accordance with the architectural direction.

The Main Responsibilities

• Lead development and deployment of Enterprise AI applications leveraging both supervised and unsupervised learning techniques 
• Design, implement, and optimize Retrieval-Augmented Generation (RAG) pipelines for AI-driven apps 
• Utilize Vector Databases and Knowledge Graphs to enhance AI applications in underwriting, claims processing, and customer engagement 
• Develop data pipelines for ingestion, transformation, and storage to support AI workloads 
• Design and implement scalable solutions using cloud-based AI platforms such as Azure AI Foundry or AWS Bedrock 
• Implement AIOps best practices, including CI/CD for model training, validation, deployment, and monitoring 
• Develop generative AI models for personalized customer experiences and automation of complex decision-making processes 
• Apply natural language processing (NLP) techniques to analyze and extract insights from unstructured data sources 
• Optimize AI models for performance, scalability, and reliability in enterprise environments 
• Conduct architecture design reviews and performance tuning for AI/ML applications 
• Work cross-functionally with business and technology teams to identify AI-driven opportunities and define strategies
• Ensure compliance with ethical AI principles, model governance, and data privacy regulations

What We Look For in a Candidate

• Bachelor's or master's degree in computer science, Software Engineering, Artificial Intelligence, Machine Learning or Data Science
• 7+ years of enterprise-scale experience in designing, implementing, and deploying AI/ML models
• 7+ years of experience working with cloud-based AI platforms, including Azure AI Foundry and AWS Bedrock
• 7+ years of experience in implementing both supervised and unsupervised learning techniques in real-world applications 
• Strong problem-solving skills and a deep understanding of statistical and mathematical principles
• Strong experience in natural language processing (NLP) and generative AI applications
• Expertise in AIOps, model lifecycle management, and AI model deployment at scale
• Proficient in Python and related libraries and SQ
• Fluent in one or more object oriented languages like C#, C++, Scala, Java, and scripting languages like Python or Ruby
• Experience working with advanced AI frameworks such as LangChain, LlamaIndex, and Hugging Face transformers is preferred
• Hands-on experience with Gen AI, RAG pipelines, Vector Databases, and Knowledge Graphs
• Experience in the Telecom industry, particularly in Network or Orchestration
• Familiarity with Azure OpenAI, LLM fine-tuning is preferred
• Familiarity with agile software delivery methodologies such as Scaled Agile

Compensation