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 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.

As a Senior Software Quality Engineer, design and implement testing strategies for backend infrastructure and AI features ensuring reliability and quality across applications.

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 role involves analyzing large datasets, developing AI models, mentoring junior staff, and creating data visualizations to drive business decisions.

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.

Design and implement SAP IBP demand planning solutions, enhance forecasting accuracy using AI and statistical models, and integrate data flows for effective supply chain planning.

Lead AI transformation initiatives by developing architectures, managing cross-functional teams, and ensuring compliance in BFSI environments. Engage with C-level stakeholders to align AI solutions with business objectives.

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.

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

The UX Designer will create user-friendly experiences for healthcare products, integrating AI tools and collaborating with teams to deliver designs that empower users.

The Staff Engineer in Machine Learning will guide teams, solve client challenges, and enhance solutions leveraging their technical expertise.

As a Customer Support Engineer, you will resolve customer technical issues, perform installations, upgrade systems, and support field services while maintaining customer relationships.

The role involves the proactive offer release for a Principal Solution Architect focusing on AI and Machine Learning.