What are the responsibilities and job description for the AI/ML Engineer position at LTM?
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 Engineer
Location: Austin TX
Duration: Fulltime
Job Description
Mandatory Skills
GCP BigQuery Kafka Dataflow Apache Spark Data Spark Vertex AI Cloud Storage
Adobe Analytics Python Java Nodejs
Experience
Senior Data Engineer Platform ML Analytics 7-9 years in data engineering or ML data engineering
Data Engineer II ML Training MultiSource Integration 5-7 years in data or ML data engineering
Required Qualifications
7-9 years of handson data engineering or ML data engineering experience in a production GCP environment
Strong proficiency in Python Java or Nodejs for pipeline development feature engineering scripts and automation
Strong handson experience with BigQuery partitioning clustering cost management complex SQL MLoptimized
table design
Proficiency with Apache Kafka for realtime streaming ingestion
Experience with Dataflow Apache Beam for both streaming and batch pipelines
Proficiency with Apache Spark PySpark or Scala DataSpark experience a strong plus
Solid familiarity with GCP ecosystem Cloud Storage PubSub Dataproc Cloud ComposerAirflow
Experience building ML training pipelines and Feature Stores GCP Feature Store preferred understanding of the ML
lifecycle including feature engineering data versioning and traineval splits
Experience with Vertex AI Pipelines or similar MLOps tooling
Demonstrated experience designing disaster recovery zones and failover strategies for cloud data platforms
crossregion replication RTORPO definition and DR testing
Experience with data archival design BigQuery table lifecycle management Cloud Storage tiered storage policies and
longterm retention for regulated datasets
Handson experience handling PHI under HIPAA fieldlevel encryption and masking deidentification techniques audit
logging access control policies and HIPAA Security Rule compliance for data at rest and in transit
Strong SQL and data modeling skills experience with layered data lake or lakehouse architecture
Salary : $100,000 - $110,000