Top Machine Learning Jobs in Delhi

As an AI/Machine Learning Engineer, you will design and implement applications centered around Generative AI, deploying large language models in cloud environments and collaborating with cloud architects and developers. Proficiency in Python is essential, alongside knowledge of cloud AI services and machine learning frameworks. You will also address customer problems and present your work effectively.

The R&D AI Software Engineer will design and implement end-to-end machine learning projects, improve AI pipelines, and contribute to high-quality production code. The role involves working with live data streams, developing benchmark tasks, and enhancing LLM accuracy through innovative data preprocessing techniques.

As a Software (ML Product) Engineer, you will enhance the user experience of ML tools by optimizing workflows and processes. You will collaborate with technical product managers, contribute to defining efficient ML practices, and improve DVC, an open-source tool for machine learning. A strong background in deep learning and system design is necessary to transform current workflows and engage with the ML community.

Senior Machine Learning Engineer role at Kayzen, revolutionizing AdTech with machine learning. Responsible for accelerating experimentation and deployment, robust model monitoring, collaborating with data scientists, productionizing pipelines, driving innovation, and championing software engineering best practices.

As a Software Engineer focused on Data, AI/ML, and Analytics at Canonical, you will collaborate on developing end-to-end data analytics and machine learning solutions. Your responsibilities include designing and maintaining solutions for both public/private clouds, working with open-source tools, and engaging with a distributed team.

The AI/ML Engineer will develop innovative software products utilizing AI and Machine Learning technologies. Responsibilities include training and optimizing models, applying NLP techniques, and using various tools for data visualization. Collaboration within agile teams to achieve client goals is essential, along with a commitment to ethical AI practices and data privacy.

As a Senior AI/ML Engineer, you will develop innovative AI solutions and products, utilizing various tools and frameworks to deliver customer-facing applications. You will work in an agile environment with a focus on defining and achieving client goals, ensuring products are built for optimal outcomes and timely delivery.

The Senior AI & ML Engineer will develop and deploy AI and ML models, collaborate with teams to design algorithms, and leverage data to enhance products and solve business challenges.