AI - Data Engineer

Responsibilities

• Development of AI Solutions
• Design and implement end to end AI workflows for complex data interpretation, knowledge extraction, and reasoning
• Build systems that convert unstructured content into structured representations
• Develop and optimize retrieval approaches that combine semantic and lexical search techniques
• Prototype, evaluate approaches, test feasibility, and productionize generative AI solutions for real world use cases
• Partner with engineering teams to develop technology infrastructure
• Optimize systems for latency, cost, and throughput
• Evaluation, Reliability, and Quality
• Design and implement evaluation approaches to assess performance, relevance, and effectiveness of AI solutions
• Apply techniques to improve consistency, accuracy, and trustworthiness of outputs
• Implement methods for scoring, explainability, and ongoing quality assurance
• Monitor deployed solutions and data pipelines for performance, stability, and data quality over time
• Data Wrangling
• Identify data sources that can be useful to answer business questions
• Perform experiments on ingested data to evaluate quality and integrity
• Build data pipelines for ongoing data extraction

Qualifications

• Minimum of 6 years building AI, Machine Learning and NLP solutions
• Minimum 3 years building applied AI/LLM and generative systems in production environments
• Bachelor’s degree in a relevant field such Mathematics, Science, Engineering, or Computer Science. Master’s Degree in relevant discipline preferred
• Strong programming skills in Python and experience building data and AI pipelines
• Experience with information retrieval, semantic search, or knowledge driven systems
• Experience with relational, non relational and semantic data stores
• Strong software engineering fundamentals (APIs, system design, testing, version control)
• Experience with Natural Language Processing methods and applications preferred
• Excellent analytical and problem solving skills
• Demonstrated initiative and ownership of tasks and projects
• Ability to prioritize, coordinate, and complete tasks to meet deadlines
• Ability to work effectively both independently and in team environments
• Ability to present complex problems in simple terms