Showing 7,944 Deep Learning Engineer Jobs in Bengaluru Bangalore

Job Description Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1.

Join us as a Big Data Engineer to design, build, and optimize large-scale batch/streaming data pipelines using Apache Spark and Scala within the Hadoop ecosystem. Leverage 4+ years experience with HDFS, Hive, Spark tuning, and CI/CD to manage TB-PB data

Lead Developer sought for Teamcenter customization, AWC, ITK, and SOA development. Drive large-scale PLM applications using Agile, leveraging 2+ years of experience. Strong communication, leadership, and techno-functional skills essential

TCS is seeking an experienced Java Developer (8+ years) in Chennai/Bangalore. Develop robust RESTful APIs, Microservices on Cloud, utilizing Spring Boot, J2EE, SQL, Hibernate, and Git. Apply your expertise to build scalable enterprise solutions

Dear Aspirant! We empower our people to stay resilient and relevant in a constantly changing world. Were looking for people who are always searching for creativ

Lead software design and development teams with deep programming expertise. Work autonomously to innovate solutions, drive project success, and achieve technical & commercial goals. Proactively engage clients, manage costs, and motivate teams in a complex environment

Seeking a Cloud Technology expert with 3-5 years experience in OpenStack, Kubernetes, and OpenShift. Drive CaaS/CNF/VNF onboarding, leveraging Helm Chart, ISTIO, and strong networking knowledge. BE/BSC/BCA required

Develop and maintain accurate and up-to-date data catalogs using Alation tools. Collaborate with cross-functional teams to identify and prioritize data requirem

Skills : Data Science, ADF EXPERIENCE, PySpark Proficiency, Proficiency in statistical and machine learning, Azure Machine Learning, Azure Databricks, Azure Dat

Design, develop, and manage end-to-end data pipelines using Azure Data Factory (ADF) . Build scalable and efficient ETL/ELT workflows for data ingestion, transformation, and loading. Integrate data from on-premises and cloud-based sources, including Azure SQL, Blob Storage, Data Lake, and REST APIs.