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Senior AI/ML Engineer

TekWissen LLC

Atlanta, GA

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JOB DETAILS
SALARY
$61.52–$61.52
SKILLS
Algorithms, Application Programming Interface (API), Artificial Intelligence (AI), Benchmarking, Best Practices, Candidate Sourcing, Computer Science, Customer/Client Research, Data Modeling, Data Processing, Data Quality, Data Recovery, Data Science, Diversity, Information Technology & Information Systems, Information/Data Security (InfoSec), Interface Programming Languages, Large-Scale Systems, Leadership, Privacy Controls, Python Programming/Scripting Language, SQL (Structured Query Language), Scalable System Development, Search Engine Optimization (SEO), Semantic Search, System Architecture, Team Player, Workforce Management
LOCATION
Atlanta, GA
POSTED
1 day ago
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
  • Bachelor's or Master's 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 CDP's 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.

About the Company

T

TekWissen LLC

WE THE TEKWISSEN PEOPLE

TekWissen offers you a broader portfolio of services, industry-leading solutions, and the meaningful innovations that give you greater flexibility and speed to respond to market dynamics, reduced costs and risk to improve enterprise performance, and increased productivity to enable growth.

To keep pace with global market demands, TekWissen keeps its finger on the pulse of change. Our organized approach to guiding a project from its inception to closure. Managing projects is becoming more and more important as we enter the digital era. To cope with the pace that this transition demands, a method is required to manage projects so they can yield quality work, while incorporating efficient use of time and resources.

Project involves identifying which quality standards are relevant to the project and determining how to satisfy them.

It is important to perform quality planning during the Planning Process and should be done alongside the other project planning processes because changes in the quality will likely require changes in the other planning processes, or the desired product quality may require a detailed risk analysis of an identified problem. It is important to remember that quality should be planned, designed, then built in, not added on after the fact.

Capabilities and accomplishments in one TekWissen business enhance the opportunity for success in the others. Put simply, TekWissen's unique combination of attributes promotes success.



COMPANY SIZE
100 to 499 employees
INDUSTRY
Computer/IT Services
FOUNDED
2009
WEBSITE
http://www.tekwissen.com/

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