Top Machine Learning Jobs in Bengaluru

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.

The Senior Software Engineer will develop backend systems and data pipelines, focusing on AI and data science projects, collaborating on applications for digital marketing.

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

Lead the design and implementation of scalable architectures for CloudSEK's platform, guiding a team of engineers and ensuring code quality and security.

Design and build core components of autonomous security agents, implement scalable systems, conduct code reviews, mentor engineers, and collaborate on AI-based cybersecurity solutions.

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.

Architect and implement an automated content ingestion pipeline: orchestration of OCR and speech-to-text ML workflows, synchronized media alignment, high-performance Angular content workbench, PHP backend optimization for large media, format parsing (ePUB/PDF/XML), and continuous system optimization to reduce manual intervention.

Lead the data engineering strategy at XO Health, overseeing a team, implementing scalable data solutions, and developing advanced analytics models for healthcare data optimization.

Develop and deploy machine learning models, focusing on AI systems, while collaborating with product and engineering teams to integrate solutions.

The Software QA Engineer will develop test automation for d-Matrix components, enhance test infrastructure, and work on ML model testing.

As an ML Engineer - Generalist, you'll enhance the Conversation AI platform, develop ML algorithms, optimize data workflows, and improve model performance.

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