Senior AIML Engineer
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Job Location:
Atlanta, GA - USA
Monthly Salary:
Not Disclosed
Posted on:
15 hours ago
Vacancies:
1 Vacancy
Job Summary
Overview:
TekWissen is a global workforce management provider headquartered in Ann Arbor Michigan that offers strategic talent solutions to our clients world-wide. Our client provider of digital technology and transformation information technology and services
Position: Senior AI/ML Engineer
Location: Atlanta GA or Frisco TX
Duration: 7 Months
Job Type: Temporary Assignment
Work Type: Onsite
Job Description
- We are seeking a Senior AI/ML Engineer to lead the design and development of the advanced AI systems that make our Customer Data Platform (CDP) the authoritative source of truth for customer data covering the entire US adult population.
- This role owns the intelligence layer of CDP: production-grade identity resolution at massive scale and LLM-powered interfaces that make trusted customer data accessible to every stakeholder in the organization.
- You will architect systems that resolve billions of customer records into accurate unified profiles and build the natural language interfaces that let business users query and understand that data without writing SQL.
- You will drive architecture decisions define best practices and lead the development of systems where accuracy trust and timeliness are non-negotiable.
Job Responsibilities
- Identity Resolution
- Design and lead end-to-end identity resolution architecture combining probabilistic models ML and embedding-based techniques to build the authoritative customer identity graph.
- Build and optimize large-scale entity matching systems across billions of records and multiple data domains ensuring every US adult is accurately represented in CDP.
- Architect advanced candidate generation and blocking strategies (LSH phonetic encoding semantic similarity) that balance precision with computational feasibility at population scale.
- Design high-precision matching pipelines using ensemble approaches (rules ML LLM-based validation) to maximize accuracy of golden customer profiles.
- Develop scalable clustering and graph-based approaches for unified customer identity resolution with clear confidence scoring and auditability.
- Lead implementation of embedding pipelines and similarity search systems using transformer models for semantic-level identity matching.
Job Responsibilities AI/LLM
- Architect and build LLM-powered systems for entity resolution including zero-shot and few-shot classification workflows that handle edge cases traditional models miss.
- Design and implement RAG-based architectures for enriching and contextualizing customer data from unstructured sources.
- Lead development of NLQ-to-SQL platforms enabling business users to query CDP the authoritative source of truth using natural language.
- Translate ambiguous business questions into structured queries with schema awareness semantic layers and guardrails that protect data integrity.
- Define best practices for prompt engineering evaluation and LLM observability ensuring AI outputs meet the trust standards CDP demands.
- Design and optimize vector search architectures (Pinecone Qdrant pgvector) for large-scale retrieval across customer data.
- Evaluate and integrate emerging frameworks such as LangChain LangGraph and agentic workflows where they strengthen CDP capabilities
Education and Work Experience
- Bachelors or Masters degree in Computer Science Data Science or related field.
- 6 years of experience in ML/AI engineering.
- Proven experience building production-grade entity resolution or identity graph systems at scale.
- Experience designing LLM-based applications in enterprise environments with high accuracy and trust requirements
Technical Skills
- Advanced programming: Python
- Deep expertise in ML algorithms for similarity classification and clustering particularly in identity resolution contexts
- Strong experience with transformer models embeddings and semantic search at population scale
- Hands-on experience with LLM APIs and orchestration frameworks
- Strong SQL and experience with distributed data processing (Spark Dask)
- Experience with vector databases and ANN search systems (FAISS Pinecone etc.)
- Expertise in ML lifecycle management (MLflow or equivalent)
- Understanding of data governance privacy and security requirements for customer identity data
Knowledge Skills and Abilities
- Strong system design and architectural thinking for AI/ML systems at population scale.
- Ability to balance precision recall and scalability in identity resolution systems understanding that accuracy directly impacts CDPs authority as the source of truth.
- Strong understanding of data semantics and customer domain modeling across diverse data sources.
- Leadership in driving AI engineering best practices standards and quality benchmarks.
- Ability to collaborate across data engineering product security and business teams to deliver trusted customer intelligence
TekWissen Group is an equal opportunity employer supporting workforce diversity.
