Specialist Data/AI Engineering

Hyderabad, Telangana, India

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

TelecommunicationsIndustries

Requirements

Candidates must possess a Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field, with experience in quality assurance or testing focused on data engineering, AI, or machine learning systems. Proficiency in programming and scripting languages like Python and SQL, along with experience in test automation frameworks, is required. A strong understanding of data pipelines, ETL/ELT processes, data validation techniques, and machine learning concepts with model evaluation metrics is necessary. Familiarity with cloud platforms (AWS, Azure, GCP), data platforms (Snowflake, Databricks), and CI/CD tools is preferred, as are excellent analytical, problem-solving, and communication skills. Experience with AI/ML model testing frameworks, bias/fairness testing, containerization (Docker), orchestration (Kubernetes), data governance, compliance, responsible AI principles, and real-time data streaming is also preferred.

Responsibilities

The Specialist Data/AI Engineer – QA will be responsible for designing and executing comprehensive testing strategies for data and AI systems, including validation of data integrity, model accuracy, and system scalability. Key duties include developing and implementing QA frameworks, test plans, and automated testing scripts for data pipelines and AI/ML models, validating data quality, consistency, and accuracy, and testing AI/ML model performance, including accuracy, bias, robustness, and drift detection. The role involves utilizing cloud platforms and modern data technologies, collaborating with cross-functional teams, performing various types of testing (regression, integration, system, performance), automating testing processes within CI/CD pipelines, monitoring production systems, analyzing root causes of defects, documenting test results, and advocating for quality best practices.

Skills

Data Pipelines

AI Models

Analytics Solutions

Testing Strategies

Data Integrity

Model Accuracy

System Scalability

QA Frameworks

Test Plans

Automated Testing Scripts

Data Quality

Data Consistency

Data Accuracy

AI/ML Model Performance

Bias Detection

Robustness

Drift Detection

Cloud Platforms

AWS

Azure

GCP

Snowflake

Databricks

Kafka

Data Workflows

Regression Testing

Integration Testing

System Testing

Performance Testing

CI/CD

Root Cause Analysis

Quality Metrics

QA Automation

Data Engineering

Computer Science

Engineering

Data Science

AT&T

Telecommunications services including wireless and broadband

About AT&T

AT&T provides telecommunications services, including wireless communications, broadband internet, and digital television, primarily in the United States. Its 5G network offers faster data speeds and more reliable connections, although availability can vary. The company caters to both individual consumers and businesses, offering various subscription plans that include options for unlimited data and bundled services that combine internet, TV, and phone. AT&T generates revenue mainly through subscription fees, device sales, and its streaming service, DIRECTV STREAM, which adds to its diverse offerings. In a competitive market, AT&T distinguishes itself with its extensive service range and strong brand presence.

Dallas, TexasHeadquarters

1876Year Founded

$43.3MTotal Funding

IPOCompany Stage

Consumer Software, EntertainmentIndustries

10,001+Employees