Top Machine Learning Jobs in Delhi

As a Network Engineer at Ericsson, you will analyze, design, and optimize telecom networks while supporting pre-sales and ensuring customer satisfaction through technical insights and network solutions.

The Senior Analyst, HR Technology will lead HR digital transformation initiatives by aligning technology with processes to enhance efficiency and employee experience across APAC.

The IP Operations Director leads and manages the India-based IP research team, overseeing advanced IP research delivery, client relationship management, and operational excellence while driving business growth through AI solutions.

Perform exploratory data analysis, manage data acquisition, train and deploy ML models, mentor junior members, and communicate findings to stakeholders.

Perform data collection, evaluation, and annotation to improve AI-generated Kannada content. Tasks include pairwise comparisons, counting, object tagging and labeling across audio, video, images, and other data types.

Perform remote, part-time data tasks to improve AI content in Marathi, including data collection, annotation, pairwise comparisons, counting, and object tagging across audio, video, images, and collected data.

The Sales Executive is responsible for selling SailPoint's IGA Solution Suite to large organizations, engaging with C-level executives, and maintaining relationships with key clients while navigating a lengthy sales cycle.

Responsible for developing security products, enhancing features, fixing issues, and analyzing data for bot detection solutions, ensuring reliable and scalable performance.

The role involves diagnosing and fixing issues in image classification and detection pipelines, utilizing real-world Computer Vision systems, and ensuring production-grade solutions.

WorldQuant seeks a Quantitative Researcher to develop predictive models for financial markets, emphasizing creativity and a strong quantitative background.

The Customer Success Business Partner at Lyric drives customer adoption and retention for strategic accounts, leveraging expertise in AI and supply chain operations.

Lead AI initiatives, craft product vision, manage lifecycle, utilize data for decisions, and foster collaboration across teams.

The Senior AI Engineer will lead the design and implementation of scalable AI solutions, manage MLOps pipelines, and collaborate with cross-functional teams to ensure operational excellence across AI platforms.

Drive the Search product roadmap at Bloomreach, focusing on AI, personalization, and data-driven decisions while ensuring customer engagement and market readiness.

The Analyst, People Analytics role involves using AI and data science to solve business problems, conducting hypothesis testing, and delivering projects within People Analytics. The candidate should execute analytics requests independently and enhance business insights through AI.

As an AI Data Specialist, you will perform data-related tasks including collection, evaluation, annotation, and object tagging in Urdu.

The AI Data Specialist will perform data collection, evaluation, annotation, and labeling tasks for AI-generated content in Tamil.

Perform remote part-time data tasks to improve AI-generated Telugu content: collect, evaluate, and annotate data; conduct pairwise comparisons, counting tasks, and object tagging/labeling across audio, video, images. Flexible schedule, 10+ hours/week.

Design and productionize ML models for search relevance and personalization. Collaborate on ML services with backend teams under performance constraints.

The role involves leading AI and ML strategies, integrating advanced capabilities into products, and optimizing data science models, emphasizing innovation and reliability.

Manage and develop a team of product designers, set goals, optimise processes, advocate for design resources, and contribute to design strategy.

The role requires a skilled Machine Learning Engineer to create complex models and AI solutions while collaborating with teams to enhance products and services.

The role involves leading data science initiatives, mentoring team members, deploying models, and ensuring high-quality technical solutions. Responsibilities include coding, architecture design, and client requirement translation.

The Senior Manager will oversee multiple agile teams, ensuring effective team performance, strategic planning, and technical leadership in software development, with a focus on AI and cloud technologies.

The AI Lead will design, develop, and implement AI solutions to enhance the SDLC stages, mentor teams, and ensure responsible AI practices.