Top Machine Learning Jobs in India

The Consultant will design and implement ML solutions, collaborate with teams, ensure quality deliverables, and mentor peers, leveraging advanced machine learning and engineering techniques.

As a Senior AI Product Manager, you will lead AI capabilities for Wholesale Lending Services, driving adoption and integrating AI into products to enhance client experiences.

The Applied AI ML Lead will enhance, build, and deliver technology products, establish ML assets, and influence strategic development across AI ML initiatives.

As a Senior Lead Architect, you will develop architectural solutions, provide technical guidance, and influence product design while ensuring high-quality code practices.

As a Software Engineer III, you will design and deliver technology solutions, maintain production code, analyze data, and contribute to software communities.

The Strategic Partner Manager will manage VARs, drive sales growth, build relationships, and support partner-led deals to maximize LogicMonitor's market presence.

As a Software Engineer III, you'll design and deliver technology products, develop secure code, produce architecture artifacts, analyze data, and improve software systems.

As an Associate Value Engineer, you will assist in identifying business challenges, developing data-driven solutions using Celonis, and presenting value propositions to clients. The role includes practical client engagement and training over a 12-month program, focusing on building relationships and delivering presentations.

The Senior Data Analyst will manage investment data collection, ensure data accuracy, facilitate cross-team projects, and improve data quality processes.

As an Engineering Manager, you'll lead software engineering teams, improve product quality and stability, and mentor employees while driving customer-centric initiatives and project delivery.

Lead the implementation of MarTech strategy, managing projects, driving innovation, and collaborating across teams to enhance digital capabilities and deliver measurable business value.

The Vice President of Fraud Strategy Analytics will design and validate fraud strategies, analyze data, and implement solutions to minimize fraud while balancing operational efficiency and customer experience.

Lead the development of AI and ML solutions for compliance and risk management by leveraging advanced analytics, data modeling, and cross-functional collaboration.

Design and implement AI workflow solutions using Python and Terraform, collaborate with teams, utilize Azure for cloud infrastructure, and ensure compliance with regulations.

Evaluate and validate models used in Asset Management, ensuring they are appropriate for business context while guiding users in model utilization and compliance. Conduct independent testing and develop performance metrics for model performance evaluation.

As a Product Manager, you will drive the vision and strategy for AI-first data products, collaborating with teams for product lifecycle management and ensuring alignment with customer needs.

The role requires a Business Intelligence Consultant to transform data, develop dashboards, manage data assets, and collaborate with operations to deliver insights in the Investment Banking sector.

The Lead Cybersecurity Architect is responsible for developing cybersecurity solutions, engaging stakeholders, and improving security within software and systems.

As a Lead Software Engineer, you will design, develop, and enhance technology solutions while leading practices in software engineering and driving innovative projects focused on operational stability.

Develop high frequency trading strategies using machine learning and statistical analysis for India's Index Options. Collaborate with traders and researchers to improve models and trading results.

Design and develop Generative AI solutions leveraging various technologies. Guide deployment and scaling while collaborating with stakeholders and team members to ensure alignment and successful delivery.

Join Welo Data as part of a global community focusing on data annotation and enhancing AI models with diverse linguistic expertise.

The Senior Data Scientist will leverage machine learning and NLP to enhance data insights, improve decision-making, and deliver scalable AI/ML systems, collaborating with global teams for product integration and following best practices in model performance.

As a Lead Software Engineer, you will enhance and deliver technology products, ensure operational stability, and lead technical evaluations while advocating for new technologies within the team.

The Lead for Data Quality and Reliability Engineering will develop data quality practices, architecture, and metrics to ensure data integrity across systems while leading a team towards innovative data solutions in a financial context.