Top Machine Learning Jobs in Bengaluru

Develop and implement software for robotic systems focusing on navigation, planning, and integration of machine learning models.

The role involves developing software tools for semiconductor compilers, creating an ecosystem for efficient IP generation, and requires knowledge in circuit design and programming.

Design, build, and maintain backend APIs and services for a real-time supply chain visibility platform. Own system architecture, real-time event ingestion, data normalization, ML integration, monitoring, and production debugging while collaborating with Product and Data Science to deliver scalable, high-availability features.

As a Senior Backend Engineer, you will design and maintain scalable software solutions, embrace innovation with AI tools, and ensure high-quality engineering practices.

Build, test, and deploy scalable backend components (primarily Django/Python). Implement algorithms and subsystems for lending and user communications. Solve complex engineering problems with simple designs. Collaborate cross-functionally and perform analytics using SQL to inform product and marketing decisions.

The Principal Software Engineer will define architectural strategy, solve complex technical challenges, mentor teams, and guide future platform development at Loop AI.

The Data Engineer will develop and maintain data-crawling infrastructure, work with teams to gather requirements, write efficient code, and mentor juniors.

Lead backend architecture and engineering: design scalable APIs and services, mentor engineers, write complex code, enforce best practices for databases, testing, observability, and integrate ML/LLM workloads.

Lead development and optimization of astrodynamics algorithms for orbit determination, propagation, conjunction analysis, and prediction. Design, validate, and operationalize scalable, efficient SSA software; research ML/AI and numerical methods; mentor junior engineers; collaborate across software, data science, operations, and product teams; contribute to documentation, proposals, and publications.

As a Technical Account Manager, you will drive customer adoption of AI-driven simulation tools, engage with engineering teams, and support software implementation in design workflows.

As a Demo Engineer, you support pre-sales by designing AI-driven demos and proof of concepts, collaborating closely with teams to showcase Cresta's capabilities.

Develop and optimize machine learning models, manage project priorities, and improve real-world solutions using advanced ML techniques.

As a Senior Machine Learning Engineer, you'll build LLM-powered agents, collaborate on experiments, support prompt engineering, and monitor AI features in production.