Hello Everyone,

Hope you are doing good!!!!

My name is Pavan and I work with SPAR Information System., I have a great opportunity for you, please find the job details below, if you are interested in applying please send me your updated resume and best time for you to discuss about this opportunity in details.

Job Title: Quality Engineer Manual & Automation Testing
Location: Frisco TX /Atlanta, GA / Over land park, KS

Experience: 2 5 Years
Work Mode: Onsite (Mandatory)
Employment Type: Contractor
________________________________________
Job Responsibilities
Design, develop, and execute manual and automated test cases
Develop and maintain automation scripts using Selenium (Java) and REST API testing frameworks
Participate in all testing phases as per the release plan
Actively contribute to Agile sprint testing activities
Execute functional, regression, and end-to-end (E2E) testing
Learn and apply AI-based testing tools for smarter test execution and defect analysis
Apply execution techniques leveraging shared frameworks and cloud platforms
Perform integration testing and data validation across multiple systems
Build understanding of the telecom domain and financial system workflows
Follow QE standards, processes, and continuous improvement practices
Participate in defect analysis, reporting, and resolution cycles
________________________________________
Required Skills & Experience
Experience
2 5 years of experience in Manual and Automation Testing
Technical Skills
Strong hands-on experience in Manual Testing, Automation Testing, and REST API Testing
Proficiency in Selenium with Java
Strong understanding of REST APIs
Experience with defect tracking and test management tools (JIRA, qTest)
Exposure to GitLab and CI/CD pipelines
Experience with integration testing and cross-system data validation
Soft Skills
Strong analytical and troubleshooting skills
Good communication and collaboration skills
Comfortable working in a fully onsite environment

Role: Sr AI ML

Hello Everyone,

Hope you are doing good!!!!

Engineer

Location: Atlanta GA / Frisco TX / Bellevue WA

Duration: 12 Months

Job Overview

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

Thanks & Regards,

Pavan Raikhelkar

LEAD TALENT ACQUISITION SPECIALIST

Direct Number:-

Fax :

Email:

Website:

(An E-verify Company)

NOTE: We respect your online privacy. This is not an unsolicited mail. Under bill 1618 title III passed by the 105th us congress this mail cannot be considered Spam as long as we include contact information and a method to be removed from our mailing list. If you are not interested in receiving our e-mails, please reply with a "REMOVE" in the subject line. We apologize for any inconvenience caused by this mail.

Quality Engineer Automation

Key skills

About this role