Top Machine Learning Jobs in Bangalore

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.

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.

The Associate Software Engineer will develop and improve Aviation Operational Efficiency Software, collaborating with cross-functional teams and engaging in Agile practices.

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.

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.

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

As a Custom Software Engineer, you'll develop tailored software solutions, collaborate with teams, and use agile practices to enhance components across systems.

As VP of Software Engineering, you will manage product development, drive innovation, resolve complex issues, and collaborate with stakeholders to align product goals and execution.

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

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

As a Sr. Engineering Manager, you will lead a team of full stack engineers in developing innovative robotics solutions, focusing on team management, technical decision-making, and product development operations. You will also influence product roadmaps and resolve technology roadblocks while ensuring adherence to development standards.

The Architect will define solution architecture for business applications, focusing on AI-enabled capabilities and collaboration with various teams. Responsibilities include creating specifications, design documents, and addressing technical risks while communicating with stakeholders.

Join Airbus as an Aerodynamics Engineer, focusing on aircraft design and validation using CFD and wind tunnel testing while promoting Airbus values.

Design, build, and maintain scalable Python backend services, REST APIs, and dashboards. Lead architecture, implement and optimize algorithms, ML models, and signal-processing pipelines, deploy on Azure with Docker/CI-CD, integrate with IoT/industrial systems, and mentor junior engineers to ensure code quality.

Maintain and optimize CrowdStrike's ML infrastructure: diagnose distributed system incidents across Ray/Spark/SLURM/JupyterHub, profile and tune performance, build observability and runbooks, collaborate with ML teams, and mentor on debugging to ensure reliable training and inference pipelines.

The Staff AI Platform Engineer will design scalable AI systems, improve reliability, mentor engineers, and collaborate on technical roadmaps, ensuring robust platforms and engineering excellence.

Analyze business requirements and translate them into technical SAP SCM solutions. Design and recommend integrations, support testing and training, document specifications, and assist agile project execution to deliver compliant, end-to-end SAP materials management and logistics capabilities.

The role involves developing machine perception solutions using AI/ML for aerospace, focusing on computer vision and mobile platforms, and collaborating with teams on innovative technologies.

Design and develop high-performance, scalable data loss prevention (DLP) dataplane services using C++, Golang, and Python. Implement real-time content inspection, leverage ML models and advanced algorithms, and deploy solutions on cloud platforms using CI/CD, Docker, and Kubernetes. Troubleshoot, optimize, and collaborate on secure data protection features.

Manage engineering teams, focusing on recruitment, training, project management, and technical decision support while promoting a strong engineering culture.

Lead the Discover engineering team to develop a recommendation engine for a new marketplace, focusing on machine learning systems and user experience.

The AI Developer will create applications for stock management, automate invoice processing, optimize OCR processes, and integrate AI/ML solutions.

Lead cross-functional engineering teams to embed AI capabilities into Trade Innovation products, ensuring technical excellence and managing delivery processes.

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.