Top Machine Learning Jobs in Delhi

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.

Seek an experienced Enterprise Sales Representative to sell IGA Solutions to organizations, engaging with C-level in a lengthy sales cycle using the Challenger sales methodology.

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

As a Management Trainee, you will support digital transformation by developing AI-driven analytical models, dashboards, and digital tools to improve operational efficiency and market performance in renewable energy.

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.

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

Design and implement next-generation analytics solutions, architecting data visualization platforms, and integrating ML models into business intelligence workflows.

As a Senior Software Engineer II, you'll design APIs, improve performance, mentor engineers, and build AI solutions for better healthcare access.

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

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.

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

The Senior Data Scientist I will develop and deploy Generative AI models, ensuring quality and ethical use, while customizing data processing pipelines for various applications.

Provide application support and IT operations for AI and data platforms, deploy and monitor GenAI and machine learning models, troubleshoot production issues, collaborate with data scientists, and ensure system reliability and performance.

As a Senior Machine Learning Engineer at Coinbase, you will design and build core components for a multi-agent framework, enhancing AI-driven support systems and driving key automation initiatives.

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 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.

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

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 Senior QA Engineer will ensure quality in AI products, designing test plans for APIs, UI, and ML workflows, conducting performance testing, and collaborating with ML teams.

Lead workforce management functions including WFM platform administration, demand forecasting, staffing optimization, intraday monitoring, reporting, and cross-functional collaboration to improve efficiency and service levels for customer-facing teams.

The Digital Manufacturing IT Application Analyst - Senior translates business requirements into technical specifications, designs IT solutions, develops infrastructure components, ensures compliance, and provides support for critical manufacturing IT systems.