Lead Big Data Engineer - AI/ML & Distributed Analytics

JOB LOCATION: 208 S Akard St., Dallas, Texas 75202 Responsibilities Responsible for the development of high performance, distributed computing tasks using Big Data technologies such as Hadoop, NoSQL, text mining and other distributed environment technologies. Familiarity with JVM-based function languages including Scala and Clojure; Hadoop query languages including Pig, Hive, Scalding, Cascalog, PyCascading; along with alternative HDFS-based computing frameworks including Spark and STORM are desirable. Key Roles and Responsibilities: Uses Big Data programming languages and technology, writes code, completes programming and documentation, and performs testing and debugging of applications. Analyzes, designs, programs, debugs and modifies software enhancements and/or new products used in distributed, large-scale analytics and visualization solutions. Interacts with data scientists and industry experts to understand how data needs to be converted, loaded and presented. Works in a highly agile environment. Utilizes AI/ML tooling and techniques to implement highly productive Data Science solutioning that spans supervised/unsupervised predictive analytics, neural networks, and deep learning. Utilizes alternative HDFS-based computing frameworks including Python programming, and AI-Computer Vision. Utilizes Image Processing (AI-Computer Vision) and Optical Character Recognition (OCR) model packages. Qualifications Requires a Bachelor’s degree, or foreign equivalent degree in Computer Science, Engineering Physics, or Scientific Computing and five (5) years of progressive, post-baccalaureate experience in the job offered or five (5) years of progressive, post-baccalaureate experience in a related occupation utilizing AI/ML tooling and techniques to implement highly productive Data Science solutioning that spans supervised/unsupervised predictive analytics, neural networks, and deep learning; utilizing alternative HDFS-based computing frameworks including Python programming, and AI-Computer Vision; and utilizing Image Processing and Optical Character Recognition (OCR) model packages. Lead Big Data Software Engineering earn between $168,984 - $237,400 yearly. Not to mention all the other amazing rewards that working at AT&T offers. Benefits Medical/Dental/Vision coverage 401(k) plan Tuition reimbursement program Paid Time Off and Holidays (based on date of hire, at least 23 days of vacation each year and 9 company-designated holidays) Paid Parental Leave Paid Caregiver Leave Additional sick leave beyond what state and local law require may be available but is unprotected Adoption Reimbursement Disability Benefits (short term and long term) Life and Accidental Death Insurance Supplemental benefit programs: critical illness/accident hospital indemnity/group legal Employee Assistance Programs (EAP) Extensive employee wellness programs Employee discounts up to 50% off on eligible AT&T mobility plans and accessories, AT&T internet (and fiber where available) and AT&T phone Weekly Hours: 40 Time Type: Regular Location: Dallas, Texas It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made. #J-18808-Ljbffr