Sr. AI/ML 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

• Bachelor''s or Master''s 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.