AI/ML Engineer

Req ID:371054NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.We are currently seeking a AI/ML Engineer to join our team in Baltimore, Maryland (US-MD), United States (US).AI/ML EngineerJob SummaryThe AI/ML Engineer is a core member of the AI/AWS Team responsible for designing and deploying machine learning models and data pipelines on the cloud/AWS. This role focuses on the technical setup, configuration, and management of large-scale data ingestion and transformation processes on the cloud/AWS, leveraging automation to accelerate the data science and ML operationalization (MLOps) journey.Key ResponsibilitiesData Transformation and ML Pipeline ManagementConfigure and manage the cloud/AWS services (e.g., AWS Glue, Sagemaker Data Wrangler) to set up data connectors and execute large-scale data transformation jobs.Select and execute AI/ML capabilities such as feature engineering, data quality checks, model training, performance analysis, and model deployment pipelines (MLOps).Review and assess model training job outputs, including feature importance reports, data drift metrics, and model performance baselines, to inform deployment decisions.Platform and InfrastructureSet up and secure the cloud/AWSaccounts, S3 buckets, and configure necessary IAM permissions to enable secure data transfer and access for ML workflows.Provision and manage target cloud infrastructure for ML model serving and data processing using Infrastructure as Code (IaC) templates (AWS CloudFormation, the cloud/AWS Cloud Development Kit (CDK), or Terraform).Manage CI/CD/CD (or MLOps) pipelines to facilitate the deployment and continuous integration of models and microservices.Model and Data HandlingOrganize and manage large datasets and required code artifacts—including training data, feature stores, Python scripts, and Jupyter notebooks—into secure data repositories (e.g., S3).Develop and review production-grade model code and associated scripts (e.g., for inference) to ensure performance and maintainability, optionally enabling monitoring tools for model quality and drift detection.Model Testing and ValidationGenerate test artifacts, including model validation metrics and test automation scripts, to support functional and performance testing of deployed ML models.Required Skills and ExperienceExperience configuring and managing the cloud/AWSservices, specifically Amazon S3 and IAM permissions, and ML services like Amazon SageMaker, within an enterprise environment.Technical understanding of machine learning principles, model lifecycle management, and MLOps practices.Proficiency with Infrastructure as Code (IaC) tooling, such as AWS CloudFormation, AWS CDK, or Terraform.Knowledge of cloud-native development and deployment practices, including microservices, CI/CD, and AWS compute services (ECS, EKS, Lambda, Fargate).Familiarity with data transformation and processing methodologies (e.g., Spark, AWS Glue, EMR) and the phases of the ML lifecycle (Data Prep, Training, Tuning, Deployment, Monitoring).About NTT DATANTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, .NTT DATA endeavors to make accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at . This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.Posting Date:Department:Bus Cons Mgmt - 1489710281