Top Machine Learning Jobs in Delhi

The Analyst will leverage data science and machine learning expertise to develop solutions, communicate with clients, and handle large datasets.

As a Backend Engineer at Socure, you'll design, develop, and deploy software solutions, ensuring scalability, security, and high quality while mentoring junior engineers and collaborating in an agile environment.

The Senior Data Analytics Engineer at MariaDB designs and builds data pipelines, writes SQL queries, develops internal tools, and translates data into actionable insights. They will collaborate closely with stakeholders and leverage AI tools to enhance analytics workflows.

The AI/ML Engineer will develop AI applications and systems, focusing on innovative solutions and contributing to research in AI technologies.

The Senior Sales Manager drives revenue and customer satisfaction by developing strategic client relationships and delivering customized advertising solutions. They manage client activities and ensure clients' advertising needs are met through effective engagement and planning.

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 Data Scientist will analyze and model data for ML systems, focusing on Personalization and Recommendation Engines, and collaborate with teams to enhance data-driven solutions.

As an ML Engineer, you will design, experiment, and deploy AI/ML models, evaluate their performance, and leverage Python and SQL.

Lead the strategy and execution for recommendation systems, cross-promotion, and ads monetization initiatives to enhance user growth and revenue.

As a Demo Engineer, you support pre-sales by designing AI-driven demos and proof of concepts, collaborating closely with teams to showcase Cresta's capabilities.

The Director of Corporate Strategy leads strategic initiatives, develops long-term plans, and manages cross-functional projects while engaging stakeholders and producing executive materials.

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.

The Senior Data Scientist will enhance the predictive modeling capabilities of Lyric's platform, focusing on machine learning and statistical methods for supply chain optimization.

Lead the design and deployment of AI/ML solutions focused on sustainability, mentor teams, engage clients, and ensure adherence to responsible AI principles.

The AI/ML Engineer II role involves developing AI solutions, managing product backlogs, integrating LLMs, and collaborating on automation projects while leading improvements in IT processes.

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

The AI/ML Consultant will design and develop AI solutions for sustainability, collaborating with teams to deliver scalable models and proof of concepts while engaging with clients for successful implementation.

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

The Data Scientist role involves predictive analytics, NLP, and Deep Learning with a focus on feature engineering for structured and text data.

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

The role involves developing and implementing Machine Learning models, managing data pipelines, and supporting Data Science teams with best practices in ML operations and methodologies.

Develop and enhance AI/ML solutions to improve patient care by collaborating with cross-functional teams and deploying machine learning models in production.

The ML Product Owner will shape the supply chain platform by developing forecasting capabilities, collaborating with teams to enhance decision-making using machine learning.

Lead a multi-skilled product team to develop AI/ML data science products, offering technical guidance, mentoring, and fostering innovation in analytics.