Sr. AIML Engineer

Job Title: Sr AI/ML Engineer

Location: Bellevue WA/ Atlanta GA/ Overland park KS

Duration: / Term: C2C

Experience Desired: 10 Years

Job Responsibilities - Identity Resolution

• Develop and deploy entity resolution models to match and deduplicate customer records across multiple systems - directly impacting the accuracy of CDP as the source of truth
• Implement probabilistic matching techniques (e.g. Fellegi-Sunter) and ML models (gradient boosting neural classifiers) for record linkage across the US adult population
• Build candidate blocking pipelines using phonetic algorithms (Soundex Double Metaphone) token similarity and LSH to handle billions of potential match pairs efficiently
• Apply fuzzy matching techniques (Levenshtein Jaro-Winkler Jaccard) for customer attributes such as name address phone and identifiers
• Develop clustering algorithms (DBSCAN hierarchical clustering) to create unified golden customer profiles that serve as the authoritative representation of each individual
• Build embedding-based similarity systems using Sentence-BERT or transformer-based models for semantic matching
• Implement ANN/KNN retrieval systems (FAISS Annoy) for large-scale entity matching across population-scale datasets

Job Responsibilities - AI/LLM

• Use LLMs (e.g. GPT Claude) for classification and disambiguation of entity matches improving resolution accuracy where traditional methods fall short
• Build and support RAG pipelines to enrich customer profiles with contextual data from unstructured sources
• Perform prompt engineering and evaluation for structured data extraction from unstructured inputs feeding into CDP
• Contribute to NLQ-to-SQL systems enabling business users to query CDP data using natural language - making the authoritative source of truth accessible to non-technical stakeholders
• Support integration with vector databases (e.g. Pinecone pgvector Qdrant) for semantic search across customer data

Education and Work Experience

• Bachelors or Masters degree in Computer Science Data Science or related field
• 3 years of experience in ML/AI engineering
• At least 1 year of experience in entity resolution record linkage or deduplication - ideally at scale

Technical Skills

• Programming: Python (required)
• Libraries: scikit-learn HuggingFace Transformers RapidFuzz jellyfish
• Experience with LLM APIs (OpenAI Anthropic) and prompt pipelines
• Strong SQL skills and experience with Spark or Dask for distributed processing
• Familiarity with vector databases and embedding-based retrieval
• Experience with ML lifecycle tools (MLflow or similar)
• Understanding of data quality metrics and how identity resolution impacts downstream trust

Knowledge Skills and Abilities

• Strong understanding of ML fundamentals and similarity matching techniques applied to customer identity
• Ability to work with large messy real-world datasets spanning hundreds of millions of records
• Understanding of precision/recall tradeoffs in identity resolution and their impact on data trust
• Good problem-solving and analytical skills
• Ability to collaborate with data engineering platform and business teams to deliver accurate customer profiles

Key Skills:

Machine Learning Generative AI NLP Fraud Detection Agentic AI LangChain LangGraph.