Top Machine Learning Jobs in Bangalore

The Specialist Generative AI will develop and integrate generative AI solutions into enterprise applications, ensuring compliance with IT security standards and optimizing AI performance.

As a Director of Engineering, you will lead the development of user-facing product features leveraging Machine Learning, design scalable frameworks, and collaborate across teams to enhance backend systems.

As a Senior Engineering Manager, you will lead the development of backend systems, design frameworks, and collaborate across teams to enhance the product features using machine learning and robust API platforms.

The Engineering Lead will design and implement technical features, work on ML pipelines, and mentor engineers while ensuring high-quality deliverables. This role requires collaborating with teams and managing the ML lifecycle for business value.

Design and implement technical features, collaborate with clients, write production-ready code, ensure quality deliverables, mentor team members, and implement ML models on large scale.

The Sr. Threat Researcher will research threats, enhance detection methods, build ML pipelines, and collaborate on security controls to optimize threat efficacy.

Lead and grow teams building AI infrastructure systems. Ensure reliability and performance of AI workloads, define technical directions, and manage engineering quality while collaborating across functions.

Design and implement scalable ML infrastructure, optimize resource utilization, develop automated ML pipelines, and lead technical initiatives in a distributed systems environment.

As a Senior Engineer in Data & ML Platform, you will build ML pipelines, design scalable data platforms, and collaborate with teams on ML solutions to support business decisions.

The role involves validating AI/ML pipelines, designing tests, ensuring compliance and integration, and collaborating on AI-driven solutions for claims adjudication.

As a Senior Backend Engineer at eBay, you'll influence future recommender systems, develop AI models for real-time recommendations, and work with large data sets.

The role involves supporting cloud-native applications on Azure, managing containerized environments, troubleshooting, and ensuring operational reliability in production operations.

Design and implement cloud native systems for Guidewire, drive engineering best practices, and collaborate with product management and engineering leadership.

Intern will perform simulations using Abaqus, conduct literature surveys, implement machine learning for data analysis, and develop skills in engineering fundamentals.

Lead a multidisciplinary R&D organization driving scientific innovation in bioprocessing applications. Oversee product development and lifecycle projects, ensuring robust engineering practices and collaboration across global teams.

Lead engineering teams in developing complex software applications, enhance user experiences, and oversee migration to microservices.

The Coveo Solution Architect will design automated AI solutions, enhance customer experience, and ensure seamless integration with SFDC, improving operational efficiency.

Design and develop cloud-native data platforms and analytics SaaS services, focusing on scalable microservices and real-time systems. Ensure CI/CD and maintain data security.

Lead the research, design, and implementation of algorithmic modules focusing on image processing, computer vision, and machine learning solutions, while optimizing algorithms and addressing hardware requirements.

The Application Solution Architect will lead the design and development of complex software applications, creating technical blueprints and specifications while overseeing a development team and ensuring alignment with business needs.

The Aerodynamics Engineer will design and analyze aerodynamic shapes, utilizing CFD and wind tunnel testing, while implementing digital skills and collaborating within teams to promote Airbus culture.

The Engineering Manager for Sales Systems will lead a team to develop scalable sales systems and improve engineering standards and processes while collaborating with various stakeholders.

ValGenesis is hiring software engineers at all levels, focusing on collaboration and innovation. Roles require 2 to 12 years of experience across various engineering disciplines.

Develop and maintain DirectX Graphics Driver for NVIDIA GPUs, focusing on graphics features, software quality improvements, and collaboration across teams.

The role involves designing, operating, and optimizing cloud-based collaboration platforms, ensuring compliance, integrating systems, and managing vendor relationships while fostering collaboration and innovation.