Top Machine Learning Jobs in India

The Customer Support Engineer I will troubleshoot customer issues, manage support tickets, document solutions, and provide accurate tech support.

The Data Modeler will design and implement data models, ensuring data quality, collaborating with stakeholders and engineers, and optimizing data performance.

The Solution Architect will design, develop and implement cloud-native platforms for fraud detection, balancing technology risks and business needs, while collaborating with stakeholders and ensuring compliance with governance processes.

The Director will lead data science efforts to derive insights from large datasets, enhance data products, and improve data science methodologies, while collaborating with various teams at Gartner.

As a Data Scientist, you'll design LLM-based agents, derive insights from unstructured data, and use ML techniques to predict client interests, working collaboratively to drive significant improvements in Gartner's sales operations.

As a Senior Data Analyst, you will enhance self-service analytics, support Sales and Marketing teams, implement AI/ML techniques, and promote user empowerment in data analysis.

Seeking a Lead BI Engineer to develop data visualization solutions using Power BI, integrating AI capabilities, and managing BI projects from design to delivery, ensuring effective data modeling and collaboration.

The Vice President of Project Management will lead technology and business transformation projects, establish PM/PMO capabilities, and drive process excellence through innovation and digital tools. Responsibilities include overseeing project delivery, managing a consulting team, and ensuring adherence to governance and risk management practices within a comprehensive service architecture.

Lead Six Sigma (Black Belt) projects using DMAIC to drive quality, efficiency, cost reduction, and improved customer experience. Manage cross-functional initiatives, run deep-dive workshops, perform statistical analysis, deliver findings for decisions, coach/train belts, and drive sustainable change across the organization.

The Director of Marketing will drive growth and awareness for Accelerate, an AI-led ad platform for SMBs, through multi-channel strategies, events, community engagement, and influencer activations. Responsibilities include funnel optimization, event leadership, and partner collaborations to enhance brand presence and adoption.

The CAE Analyst is responsible for conducting structural and thermal analysis, fatigue life calculations, and solving complex FEA problems to support appliance product development at GE Appliances.

The role involves leading AI projects in Life Sciences, engaging clients, and managing project teams to deliver AI-driven solutions. The candidate will also contribute to business development and the evolution of consulting practices.

Develop custom software and AI agents tailored for business needs, utilizing Python and collaborating with product teams for optimization and innovation.

Lead site-level process excellence and continuous improvement initiatives using LSS; drive customer experience and operational metrics, identify automation opportunities, coach teams, and liaise with stakeholders to deliver transformational value.

Lead design, development, and deployment of Generative AI and LLM solutions across cloud environments. Engage clients, build POCs/POVs, translate business needs into data problems, develop and validate models, and operationalize models with MLOps and DevOps practices while ensuring data governance, security, and domain-aligned solutions.

The role involves developing and integrating ML and Generative AI solutions, collaborating with cross-functional teams, and optimizing AI pipelines at scale.

The Sr Data Engineer will develop ML solutions, lead teams, manage projects, and ensure quality while mentoring junior developers.

As a Data Scientist, you will develop AI solutions, analyze data, collaborate with teams, and identify AI business opportunities, impacting global workflows.

The specialist will develop and implement AI and machine learning solutions to enhance pharmacovigilance processes and compliance. Key responsibilities include AI solution design, integration, and governance in collaboration with team members across various departments.

The Senior Software Engineering Lead will oversee technical leadership and architecture for the FFT digital platform, drive software development lifecycle, manage external development teams, and identify innovation opportunities, particularly in AI and data-driven applications.

The CAD Engineer will define EDA workflows, develop tools using AI in chip design, and improve workflow analytics while solving complex problems.

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.

The Data Scientist will develop predictive models and AI solutions, collaborate with cross-functional teams, and build scalable pipelines while ensuring model accuracy and reliability.

The role involves leading product strategy and development for balance sheet management solutions using AI and analytics, collaborating with senior stakeholders, and mentoring teams in product management best practices.

The role involves leading balance sheet management product strategy, utilizing AI and machine learning to develop data-driven tools and analytics, and overseeing product lifecycle while collaborating with senior leaders across finance and technology.