Job description

Job Description: JOB LOCATION: 2900 W Plano Pkwy, Plano TX 75075 DUTIES: Responsible for data pipeline build and maintenance along with model deployment, evaluation and deployments. Collaborate with cross-functional teams to keep track of the progress including infrastructure management, automation, CI/CD, security and compliance. Data processing to make suitable for model training involving data collection, feature engineering, data augmentation, normalization, or dealing with missing values. Develop, train, and tune various machine learning models. Run experiments with different algorithms, hyperparameters, and techniques to find the most effective solution for a given problem. Implement user interfaces using modern front-end technologies like HTML, CSS, JavaScript, React, Angular, Gradio and Streamlit. Develop and maintain back-end services and APIs using Python, Java, and Node.js. Ensure seamless integration between the front-end and back-end components of applications and databases: MongoDB, Milvus, and Snowflake. Manage and maintain cloud infrastructure, ensuring stability, security, and scalability including provisioning resources, setting up virtual networks, configuring storage, and managing access controls. Implement and maintain CI/CD pipelines that enable rapid and reliable deployment of applications, machine learning models, and other services. Work on design and prototyping UI/UX along with integration and testing. Documentation, knowledge sharing and mentor new team members. Utilize Databricks, Spark, J2EE, ReactJS, Langchain, Azure, and GraphFrames. REQUIREMENTS: Requires a Bachelor’s degree, or foreign equivalent degree in Computer Science, Math, or Computer Engineering, and 5 years of progressive, post-baccalaureate experience in the job offered or 5 years of progressive, post-baccalaureate experience in a related occupation utilizing HTML, CSS, JavaScript, React, Angular, Gradio and Steamlit; utilizing Python, Java, and Node.js; utilizing MongoDB, Milvus, and Snowflake; and utilizing Databricks, Spark, J2EE, ReactJS, Langchain, Azure, and GraphFrames. In lieu of a Bachelor’s degree, the employer will accept an additional 2 years of experience utilizing HTML, CSS, JavaScript, React, Angular, Gradio and Steamlit; utilizing Python, Java, and Node.js; utilizing MongoDB, Milvus, and Snowflake; and utilizing Databricks, Spark, J2EE, ReactJS, Langchain, Azure, and GraphFrames. Our Lead Data/AI Engineering earn between $169,449 - $215,800 yearly. Not to mention all the other amazing rewards that working at AT&T offers. Joining our team comes with amazing perks and 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: Plano, 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.

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