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ATT Communication Services
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Specialist Data/AI Engineering

Specialist Data/AI Engineering

ATT Communication Services

10 - 11 years

35 - 40 Lacs

Hyderabad

Posted:1 day ago| Platform:

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Skills Required

Computer science Data validation Manager Quality Assurance Analytical Machine learning Performance testing Data quality Analytics SQL Python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Role Overview

As a Specialist Data/AI Engineer QA at AT&T, you will be responsible for ensuring the quality, reliability, and performance of data pipelines, AI models, and analytics solutions. You will design and execute comprehensive testing strategies for data and AI systems, including validation of data integrity, model accuracy, and system scalability. Your role is critical to delivering robust, production-ready AI and data solutions that meet AT&T s high standards.

Key Responsibilities

Develop and implement QA frameworks, test plans, and automated testing scripts for data pipelines and AI/ML models.
Validate data quality, consistency, and accuracy across ingestion, transformation, and storage processes.
Test AI/ML model performance including accuracy, bias, robustness, and drift detection.
Utilize cloud platforms (AWS, Azure, GCP) and modern data technologies (e.g., Snowflake, Databricks, Kafka) to manage large-scale data workflows.
Collaborate with data engineers, data scientists, and product teams to identify test requirements and ensure comprehensive coverage.
Perform regression, integration, system, and performance testing on data and AI workflows.
Automate testing processes using appropriate tools and frameworks to enable continuous testing in CI/CD pipelines.
Monitor production systems to detect issues proactively and support root cause analysis for defects or anomalies.
Document test results, defects, and quality metrics, communicating findings to technical and non-technical stakeholders.
Advocate for quality best practices and contribute to improving testing methodologies across the CDO.
Stay current with industry trends and emerging tools in data engineering, AI, and QA automation.

Qualifications

Required:

Bachelor s or Master s degree in Computer Science, Engineering, Data Science, or a related field.
Experience in quality assurance or testing roles focused on data engineering, AI, or machine learning systems.
Proficiency in programming and scripting languages such as Python, SQL, and experience with test automation frameworks.
Strong understanding of data pipelines, ETL/ELT processes, and data validation techniques.
Familiarity with machine learning concepts and model evaluation metrics.
Experience with cloud platforms (AWS, Azure, GCP) and data platforms (Snowflake, Databricks) is preferred.
Knowledge of CI/CD tools and integration of automated testing within deployment pipelines.
Excellent analytical, problem-solving, and communication skills.

Preferred:

Experience with AI/ML model testing frameworks and bias/fairness testing.
Familiarity with containerization (Docker) and orchestration (Kubernetes) environments.
Understanding of data governance, compliance, and responsible AI principles.
Experience with real-time data streaming and testing associated workflows.

#DataEngineering

Location:

IND:AP:Hyderabad / Argus Bldg 4f & 5f, Sattva, Knowledge City- Adm: Argus Building, Sattva, Knowledge City

Job ID R-75360 Date posted 07/18/2025

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Specialist Data/AI Engineering