**Job Description:** **Assoc Director-Data/AI Engineering** : AT&T is one of the leading service providers in the telecommunication sector and propelling it into the data and AI driven era is powered by CDO (Chief Data Office). CDO is empowering AT&T, through execution, self-service, and as a data and AI center of excellence, to unlock transformative insights and actions that drive value for the company and its customers. Employees at CDO imagine, innovate, and unlock data & AI driven insights and actions that create value for our customers and the enterprise. Part of the work, we govern data collection and use, mitigate for potential bias in machine learning models, and encourage an enterprise culture of responsible AI. AT&T’s **Chief Data Office (CDO)** is harnessing data and making AT&T’s data assets and ground-breaking AI functionality accessible to employees across the firm. In addition, our talented employees are a significant component that contributes to AT&T’s place as the U.S. company with the sixth most AI-related patents. CDO also maintains academic and tech partnerships to cultivate the next generation of experts in statistics and machine learning, statistical computing, data visualization, text mining, time series modelling, data stream and database management, data quality and anomaly detection, data privacy, and more. As an **Associate Director** , Data Science, you will join a dynamic AI team to develop and deploy advanced machine learning and artificial intelligence solutions. This role is ideal for a seasoned professional with 13-16 years of experience who thrives as an independent contributor. Your focus will be on addressing customer needs, delivering scalable solutions, and driving innovation across business operations. This role involves owning specific projects or modules, collaborating closely with cross-functional teams, and contributing to the technical design and implementation of solutions. You will also assist in technical reviews to ensure the quality and robustness of deliverables. The candidate should have expertise in Hands-on experience in developing and deploying machine learning models into production, ensuring scalability and reliability, handling data, financial/risk modeling, anomaly detection, and cloud environments (preferably Azure). Strong programming skills in Python, and experience with SQL for data manipulation. Excellent oral and written communication skills to effectively engage with team members, stakeholders, and end-users. **Roles and Responsibilities:** + Develop, enhance, and support assigned applications, ensuring seamless functionality and high performance. + Take full ownership of assigned projects or modules, providing end-to-end solutions from development to deployment. + Participate in client engagements to enhance existing ML models, develop advanced models for business needs, and design experiments for test/control analysis and business process trials. + Collaborate with cross-functional teams on AI/ML, knowledge discovery, data modeling, and analytics to address business challenges. + Build, deploy, and maintain predictive ML models, ensuring production readiness and optimal performance. + Design and execute experiments such as A/B testing or DOE (Design of Experiments) to validate models and hypotheses. + Write and execute data extraction algorithms to collect data from primary or secondary sources and define data requirements for analysis. + Troubleshoot issues, monitor performance, and optimize deployed models and processes for continuous improvement. + Gain expertise in the organization's data framework and its alignment with business processes. Recommend any additional data needs and coordinate with data engineers to ensure data suitability. + Apply advanced data analytics and strategies to optimize statistical efficiency and model quality. + Interpret data and analyze results using analytical techniques, providing actionable insights and regular reports to stakeholders. + Identify, analyze, and interpret trends or patterns in complex data sets to uncover actionable insights. + Train and develop machine learning models, run evaluation experiments, refine/test/validate models, and ensure robust deployment in production environments. + Work with management and stakeholders to prioritize business and informational needs for data-driven solutions. + Stay current with industry trends, share best practices, and provide subject matter expertise within the team. + Identify new opportunities for process improvement using statistical testing, predictive modeling, and data-driven methodologies. + Adhere to company policies, procedures, and security requirements while maintaining compliance standards. **Qualifications – Required / Desired Skills:** + Degree in one or more quantitative discipline – Operations Research, Stats, Math, Comp Sci, Engineering, Economics or similar + Experience in developing a variety of machine learning models algorithms in a commercial environment with a track record of creating meaningful business impact. + Proficient with PySpark, NoSQL and Python and distributed programming + Expertise working in MongoDB, Snowflake, Databricks and cloud computing platforms (AWS, GCP or Azure), or equivalent on-premise platform and deploymentprovide hands-on technical guidance; conduct code reviews. + Ability to simultaneously coordinate and track multiple deliverables, tasks and dependencies across multiple stakeholders / business areas. + Experience in client engagements, interpreting client’s business challenges, and recommendations for statistical analysis solutions (i.e. analytical consulting and solution design) + Experience in presentation design, development, delivery, and communication skills to present analytical results and recommendations for action-oriented data driven decisions and associated operational and financial impacts. + Experience in Gen AI, LLM Workflow, Graph RAG etc. is an added advantage. + Familiarity with visualization tools like PowerBI and Tableau is an added advantage. + Flexible to work mandatorily from office 4 days and work from 12:30PM to 9:30PM \#DataEngineering **Weekly Hours:** 40 **Time Type:** Regular **Location:** IND:KA:Bengaluru / Innovator Building, Itpb, Whitefield Rd - Adm: Intl Tech Park, Innovator Bldg 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. AT&T will consider for employment qualified applicants in a manner consistent with the requirements of federal, state and local laws We expect employees to be honest, trustworthy, and operate with integrity. Discrimination and all unlawful harassment (including sexual harassment) in employment is not tolerated. We encourage success based on our individual merits and abilities without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, disability, marital status, citizenship status, military status, protected veteran status or employment status