Top Machine Learning Jobs in Bangalore

As an Experienced Software Engineer, you will design and develop scalable systems using Java or Python, ensuring code quality and performance improvements while collaborating with agile teams.

Develop and implement advanced analytics, machine learning, and IIoT solutions in manufacturing, driving improvements and providing actionable insights for pharmaceutical production.

As an Architect III, you will manage technology risks, support application lifecycle, ensure compliance, and enhance application resiliency while collaborating with stakeholders.

The Senior Machine Learning Engineer will develop and deploy machine learning solutions, utilizing diverse data sources to enhance user experience and security in the financial system.

As an Architect III, you will support application lifecycle management, ensure compliance with standards, assess technology risks, and enhance application resilience and performance through technical innovation.

As a Software Engineer III, you'll design and deliver software solutions, troubleshoot technical issues, and improve software hygiene within an agile team.

The Architect III will oversee application lifecycle, enforce governance standards, manage technology risks, enhance application performance, and collaborate with various teams.

The Lead Software Engineer - AI/ML will develop machine perception solutions for aerospace, leading projects to optimize aircraft performance and operational efficiency, collaborating with international teams, and innovating in AI technologies.

This role involves leading software engineering projects, developing secure production code, and driving innovation in AI technologies while ensuring system stability and operational efficiency.

The Senior Engineering Manager will oversee the engineering team, ensuring project delivery, team development, and alignment with company goals.

Develop custom software solutions tailored to business needs using modern frameworks and agile practices, focusing on SAP Project Systems and AI enhancements.

The Custom Software Engineer designs and develops AI-driven applications on SAP platforms, focusing on Generative AI and improving business processes through innovative solutions.

Design, build, and configure applications leveraging Generative AI within SAP platforms. Collaborate with teams to understand needs, develop solutions, and mentor juniors.

The role involves designing, developing and deploying intelligent frameworks using Generative AI and SAP technologies, with emphasis on innovation and collaboration.

Develop custom software solutions using SAP FI S/4HANA accounting and AI frameworks while ensuring performance and usability.

Design, build, and configure applications leveraging Generative AI within SAP. Collaborate with teams to deliver solutions and enhance business processes.

Design, develop, and deploy applications leveraging Generative and Agentic AI within SAP platforms, focusing on innovative financial solutions.

The role involves software development with a focus on programming languages and machine learning concepts. Candidates should have at least 2 years of experience.

As a Module Engineer in TD Lithography, you will solve engineering problems, optimize software solutions, apply machine learning, and maintain process control in semiconductor manufacturing.

Develop image analysis and computer vision algorithms for defect detection, optimize algorithms, and integrate solutions into detection systems.

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.

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

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.

Lead the development of AI-powered applications, creating scalable APIs, managing ML lifecycle, and optimizing performance through collaboration and innovation.

As a Quality Assurance Engineer, you will develop testing solutions, lead projects, and ensure quality in software applications, collaborating with cross-functional teams.