Top Machine Learning Jobs in Delhi

As an AI Data Expert, you'll evaluate AI-generated outputs, review text, analyze multimedia, and provide structured feedback based on cultural standards.

The Post Doctoral Scientist will analyze large-scale datasets related to cardiometabolic diseases, using statistical and computational techniques to identify genetic factors and support therapeutic development.

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

Lead initiatives to drive significant revenue growth while owning customer pipelines and ensuring data quality and operational efficiency. Manage teams and collaborate with stakeholders across various departments for project advancements.

The Data Processing Executive will manage data annotation and correction for Mortgage documents, ensuring accuracy and collaboration while meeting productivity metrics.

The Senior Manager, Machine Learning leads the Conversation Memory team, focusing on developing foundational AI features, ensuring operational excellence, mentoring engineers, and managing project timelines for ML solutions.

Pravāh seeks candidates able to propose their own roles to contribute to AI solutions for electric grid management and operations, focusing on high agency, ownership, and strategic thinking.

The ROR Developer will focus on software engineering practices, design, data structures, algorithms, and deliver projects with responsibility, while keeping pace with industry trends.

The Data Scientist will leverage critical thinking and data analysis skills to develop Machine Learning models for detecting financial crime risks and synthesizing data requirements.

The AI/ML Intern position is designed for aspirants eager to learn and grow in a remote environment, working on exciting projects.

The Data Operations Analyst develops custom product attribution based on client needs, utilizing tagging and machine learning; ensuring data mapping accuracy and project delivery.

The Senior Software Engineer will design and maintain backend software, APIs, and collaborate with various teams to enhance product offerings and scale services.

The Hyperscalers and Commercial Lead will develop technology-driven business strategies, drive customer adoption, and manage end-to-end sales processes while working closely with cross-functional teams.

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

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

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

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

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.

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.

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

The role involves driving national revenue growth in enterprise sales, managing complex engagements, and building relationships with senior executives in the manufacturing sector.