Top Machine Learning Jobs in Bengaluru

The role involves improving NLP processes, scaling the platform for doctors, and implementing microservices architectures primarily using Go, while leveraging a broad tech stack.

Responsible for the full machine learning stack including model development, deployment, and improvement of business processes through ML algorithms.

The Senior Machine Learning Engineer role focuses on improving NLP processes, scaling platforms, and implementing microservices using Go in a collaborative team environment.

As an ML Engineer - Generalist, you'll develop ML algorithms for the Nebula platform, optimize data workflows, and collaborate across teams to enhance AI capabilities.

As an AI/ML Engineer, you will design and deploy AI solutions, manage knowledge bases, and integrate ML models into applications.

Lead engineering teams in delivering scalable software solutions while setting technical vision and guiding product development and collaboration.

Lead the development of generative AI solutions, focusing on scalable systems, model evaluation, integration, and mentoring junior engineers.

The Software Engineer will develop and implement platforms for data science, focusing on infrastructure design, algorithm implementation, and workflow automation while collaborating with cross-functional teams.

As a Machine Learning Engineer, you will develop and optimize AI solutions focusing on GenAI and NLP, collaborating with cross-functional teams to enhance business workflows and innovations.

Assist in pioneering research in AI and ML at Sahara AI, focusing on innovative model development and collaboration with tech leaders.

The AI/ML Engineer will design, develop, and deploy AI solutions, integrate ML models, manage knowledge bases, and collaborate on full-stack applications.

The Senior Machine Learning Developer will design and optimize ML models, develop data pipelines, implement MLOps, and guide junior developers in a collaborative environment.

Develop, enhance, and maintain software kernels for AI hardware. Optimize and implement algorithms, while collaborating with software and hardware teams.

Design and develop advanced AI/ML algorithms for enterprise cybersecurity risk management, focusing on model training, deployment, and infrastructure while collaborating across teams.

As an AI Senior Backend Engineer, you will design and develop scalable backend systems and APIs for AI models. Your responsibilities include implementing data ingestion pipelines, optimizing performance, collaborating with data scientists, and resolving technical issues.

As an Application Development Engineer, you will design and implement machine learning systems, conduct statistical analysis, develop applications, and collaborate with teams to deliver data-driven solutions.

Assist senior ML engineers in researching, building, and deploying machine learning models, working with various data types while contributing to code reviews and technical discussions.