The company is looking to solve the problem of using data to impact people in a meaningful way by building scalable solutions, leveraging cutting edge technology, and delivering high quality solutions across various industries.
Requirements
- Strong experience with AI/ML model lifecycle
- Experience with AI & ML Platforms such as Azure Cognitive Services or AWS SageMaker & ML Services
- Strong SQL skills including Data Definition Language (DDL), Data Manipulation Language (DML), views, functions, stored procedures, or performance tuning
- Experience with one (1) or more of the following computer languages: C-Sharp, Python, Java
- Strong experience with Large Language Models (LLM)
- Hands on delivery experience of end-to-end cloud data analytics solutions within Azure or AWS
- Experience with Data Warehousing, Data Modeling, Semantic Model Definition or Star Schema Construction
Responsibilities
- Designs, and implements best in class solutions that include AI and cognitive services, ML models, data ingestion strategies, semantic layers and models, visualizations, streaming processes, API integrations, and automation (RPA) solutions for end-to-end data analytics solutions on primarily, but not limited to, cloud analytics platforms such as Azure and AWS
- Leverage multiple Large Language Models (LLM) to enhance natural language processing capabilities and develop advanced AI applications
- Designs and implements solutions incorporating retrieval-augmented generation (RAG) architectures and multimodal embeddings to enhance AI-driven insights by combining text, images, and structured data sources
- Writes code using multiple languages and correctly applies frameworks, architectural patterns, and software development principles
- Delivers high-performance, scalable, repeatable, and secure deliverables with broad impact (high throughput and low latency)
- Assists with implementation of governance programs and best practices
- Performs the cleaning and transforming of data from source systems into analytics models
Other
- High School Diploma or GED equivalent
- Bachelor’s degree, preferred; focus in Information Systems, Data Science or Computer Science, preferred
- Five (5) or more years of experience within Artificial Intelligence, Data Analytics, Business Intelligence, Machine Learning, Application Development
- Ability to work with a high degree of professionalism and autonomy
- Excellent verbal and written communication skills
