Top Machine Learning Jobs in Delhi

As a Data Engineer, you will design and optimize Elasticsearch clusters, manage data storage solutions, integrate diverse data types, ensure data integrity, and collaborate with stakeholders in an Agile environment for software development and innovation.

You will develop and optimize deep learning models for monitoring and assessing driver safety, involving end-to-end development, implementation, and optimization of models, particularly in cloud and edge deployments, while collaborating with developers to ensure system performance and security.

As a Software Engineer - Vision, you will develop and optimize computer vision algorithms, improve existing models, and collaborate with cross-functional teams on AI systems.

The Senior Data Consultant leads teams to deliver data-driven projects for clients, formulating strategies and action plans, managing project delivery, and building customer relationships. They are problem solvers and project managers, skilled in adapting to diverse missions and leveraging data to drive business impact.

The Quality Engineer III will develop and manage the lifecycle of Machine Learning services, defining acceptance criteria and performing manual and automated testing. Responsibilities include creating automated test frameworks, deploying ML features, and working collaboratively in an agile environment.

As an AI/ML Engineer, you will develop, optimize, and deploy cutting-edge AI and ML solutions, focusing on machine learning models like Generative AI and LLMs. You will collaborate with cross-functional teams to integrate AI solutions into products, maintain MLOps pipelines, and troubleshoot engineering challenges to ensure model performance.

As a Software Engineer in the Data Science team at Lyric, you will design and develop custom platforms to support data science workflows. Your role includes architecting infrastructure, implementing machine learning algorithms, optimizing performance, and collaborating with cross-functional teams to enable data-driven decisions.

As a Lead ML Engineer for Gen AI, you will evaluate, design, and implement generative AI solutions. Key responsibilities include architecting scalable systems, leading AI application development, defining the technology roadmap, and mentoring junior staff. The role requires collaboration with cross-functional teams and staying updated on Gen AI advancements to contribute to Lyric's thought leadership.

As a Machine Learning Engineer at Coinbase, you'll leverage advanced machine learning methodologies to build infrastructure supporting the open financial system. You'll create scalable solutions for fraud detection, user experience improvements, and machine learning resource accessibility. Your role not only enhances security but also focuses on bettering the user experience through intelligent product features.

The MLOps Engineer will establish and maintain AI/ML infrastructure, automate ML workflows, and enhance model reliability. Responsibilities include implementing CI/CD pipelines, deploying models, optimizing cloud environments, and ensuring compliance. Collaboration with the ML and IT teams is essential to streamline AI deployments.

The Senior Machine Learning Developer will design, build, and optimize machine learning models for AI-driven site planning tools, develop scalable ML solutions, create efficient data pipelines, and implement MLOps. The role includes technical leadership, collaboration with teams, and ensuring the performance of ML models.

As a Principal Engineer AI/ML at BrowserStack, you will design and develop data pipelines and AI models, work with data processing, lead AI initiatives, optimize model performance, and ensure compliance with AI ethics and regulations, while mentoring junior engineers.

As a Senior Machine Learning Engineer, you will develop and deploy ML models for business use cases, mentor team members, and collaborate in shaping the ML ecosystem, impacting sales and customer satisfaction at Zoom.

The Senior Machine Learning Engineer will design, build, evaluate, deploy, and iterate on scalable Machine Learning systems. Responsibilities include developing data pipelines, implementing monitoring features, writing tests, and collaborating with stakeholders to enhance the user experience across Apollo's products.

The Senior Machine Learning Engineer at Oportun will lead the development of ML infrastructure, guiding teams in delivering high-quality ML solutions, collaborating with data scientists, and ensuring adherence to best practices in model deployment and evaluation.

As a Senior Machine Learning Engineer, you will lead the development of advanced ML infrastructure, from model training to deployment, mentor junior engineers, and collaborate with teams to provide impactful solutions. Your expertise will drive architectural decisions and oversee critical projects, ensuring high-quality outcomes and efficient model deployment.

As a Senior Machine Learning Engineer at Coinbase, you will develop machine learning solutions to enhance user experiences and ensure security. Responsibilities include utilizing advanced methodologies like deep learning and LLMs for fraud detection and recommendations, while also creating infrastructure to democratize machine learning access within the company.