Top Machine Learning Jobs in Bangalore

The Senior Consultant will analyze complex manufacturing data, translating business needs into analytics solutions, collaborating with technical teams to deliver insights and report solutions, while maintaining stakeholder relationships and ensuring data quality.

The Service Architect will analyze, design, and develop end-to-end solutions while managing the service lifecycle and coordinating infrastructure planning.

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.

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

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.

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 CAD Engineer will define EDA workflows, develop tools using AI in chip design, and improve workflow analytics while solving complex problems.

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

This internship involves developing software tools in Python for data parsing and automation, executing system-level tests, and exploring AI concepts for aerospace applications.

As an Advanced Numerical Simulations Intern, you will perform literature surveys, implement solutions in Abaqus, create simulation models, and develop machine learning regression models. This role focuses on structural simulations for aircraft programs.

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

Develop, deploy, and support enterprise-level software modules while ensuring design quality and technical architecture. Mentor teams and improve product features.

The Lead Application Engineer will drive digital design methodologies and collaborate with customers and sales teams to solve complex semiconductor challenges, while mentoring junior members and influencing product direction.

The Senior Software Engineer will design and maintain APIs and backend systems, mentor junior engineers, and collaborate across teams to enhance product features and scalability.

The Lead Engineering role at Wabtec is a two-year leadership development program focusing on software development, data analytics, and digital engineering, providing diverse assignments and technical training to young professionals.

Join the LEAD program at Wabtec to undergo diverse assignments in product management, data analytics, IT operations, and software development over two years, enhancing technical and leadership skills.

Design and develop AI solutions focusing on deep learning, debug system-level issues, oversee system integration, and ensure customer requirements are met.

Design and execute comprehensive test plans for NDR/IDS features, automate tests in Python, validate detection and alerting pipelines (Kafka/Flink), integrate tests into CI/CD, debug across environments, and collaborate with engineering, detection, and product teams.

The role involves leveraging AI and ML to enhance pre-silicon verification methodologies, collaborating with cross-functional teams, and engaging with customers for innovative solutions.

The role involves leading pre-silicon verification using AI-driven methodologies, collaborating with teams, and delivering innovative verification solutions.

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 and grow a backend engineering team building scalable, cloud-agnostic infrastructure and services for big data and ML workloads. Hire engineers, enforce technical standards, partner with product and customers, define roadmap, and coordinate cross-team execution to deliver reliable, monitored, and tested systems at scale.

The IT Collaboration Platform Engineer will lead the design, development, and operation of cloud-based collaboration services, manage platform integrations, and ensure governance and compliance while driving innovation and optimization.

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.

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.