AI/ML Engineer
About Us:LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 700+ clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by nearly 90,000 talented and entrepreneurial professionals across more than 30 countries, LTIMindtree — a Larsen & Toubro Group company — combines the industry-acclaimed strengths of erstwhile Larsen and Toubro Infotech and Mindtree in solving the most complex business challenges and delivering transformation at scale. For more information, please visit www.ltimindtree.com.Role: AI/ML EngineerLocation: Austin TXDuration: FulltimeJob DescriptionMandatory SkillsGCP BigQuery Kafka Dataflow Apache Spark Data Spark Vertex AI Cloud StorageAdobe Analytics Python Java NodejsExperience Senior Data Engineer Platform ML Analytics 7-9 years in data engineering or ML data engineeringData Engineer II ML Training MultiSource Integration 5-7 years in data or ML data engineeringRequired Qualifications7-9 years of handson data engineering or ML data engineering experience in a production GCP environmentStrong proficiency in Python Java or Nodejs for pipeline development feature engineering scripts and automationStrong handson experience with BigQuery partitioning clustering cost management complex SQL MLoptimizedtable designProficiency with Apache Kafka for realtime streaming ingestionExperience with Dataflow Apache Beam for both streaming and batch pipelinesProficiency with Apache Spark PySpark or Scala DataSpark experience a strong plusSolid familiarity with GCP ecosystem Cloud Storage PubSub Dataproc Cloud ComposerAirflowExperience building ML training pipelines and Feature Stores GCP Feature Store preferred understanding of the MLlifecycle including feature engineering data versioning and traineval splitsExperience with Vertex AI Pipelines or similar MLOps toolingDemonstrated experience designing disaster recovery zones and failover strategies for cloud data platformscrossregion replication RTORPO definition and DR testingExperience with data archival design BigQuery table lifecycle management Cloud Storage tiered storage policies andlongterm retention for regulated datasetsHandson experience handling PHI under HIPAA fieldlevel encryption and masking deidentification techniques auditlogging access control policies and HIPAA Security Rule compliance for data at rest and in transitStrong SQL and data modeling skills experience with layered data lake or lakehouse architecture