Top Artificial Intelligence Jobs in Bengaluru, KA

Senior Data Scientist Associate role at JPMorgan Chase focusing on Artificial Intelligence and Machine Learning solutions within the Asset and Wealth Management Technology team. Responsibilities include designing and managing prompt-based models for NLP tasks in the financial services domain, collaborating with cross-functional teams, and analyzing model performance for improvement.

Design, develop, and implement Gen-AI applications aligned with business use cases. Showcase Proof-Of-Concept projects and collaborate with cross-functional teams to solve business problems using AI. Build scalable Gen-AI systems and mentor junior team members on best practices.

The Senior Machine Learning Engineer will be responsible for building machine learning solutions for Warner Bros. Discovery's content and Ad platform. They will focus on unlocking machine learning opportunities in media supply chain, captioning services, ad conditioning, metadata extraction, and building foundational machine learning training and inference pipelines at scale. The role requires 5-8 years of experience and proficiency in Java, Golang, Python, and Scala.

As a Principal Engineer on the AI & ML Platform team at Atlassian, you will build and shape the core infrastructure for ML engineers and data scientists to develop, train, evaluate, deploy, and operate ML models. You will work on systems for product teams like Jira & Confluence to provide access to curated LLMs, tackling complex infrastructure challenges and leading engineers to drive projects from technical design to launch. You will also collaborate with other teams, deliver solutions used by other teams and products, and mentor junior members on the team.

Lead Software Engineer at JPMorgan Chase within the Risk Technology division, responsible for developing secure and high-quality production code, leading evaluation sessions, driving adoption of new technologies, and fostering diversity and inclusion in team culture.

The AI Software Engineer at Motorola Solutions will work across platform technologies, developing AI models, analyzing data, and collaborating with cross-functional teams to create novel solutions. Required skills include Python, Node.js, C/C++, Java, Tensor Flow, PyTorch, Keras, SQL, NoSQL, GCP, AWS, and Azure.

Analyzing and validating AI model performance, designing and executing test cases, communicating with end-users, defining metrics, presenting test results, managing critical testing tasks, partnering with cross-functional teams, and providing accurate testing estimates.

Lead the development and operationalization of Gen AI use cases on complex projects, design and implement MLOps pipelines for Generative AI models, automate ML tasks using GitOps and CI/CD pipelines, create database-to-deployment pipelines for models, perform hands-on exploratory data analysis, and manage external ML engineers and vendors.