Top Machine Learning Jobs in India

As an AI Product Manager, you will define, build, and scale AI-driven solutions for Zinnia's insurance platform, enhancing various operational workflows and ensuring robust product requirements are met.

Develop and apply NLP and ML methodologies for enterprise customer experience: build and evaluate statistical and deep learning models, implement information extraction and retrieval solutions, work with NLP frameworks, collaborate across teams, and advise on project roadmaps.

Lead design, build and maintain data architectures, pipelines, warehouses and lakes; develop processing and analysis algorithms; collaborate with data scientists to deploy ML models; manage risk and lead teams or projects.

Lead and grow a regional Data & AI technical team in India to ensure resiliency and performance of customer production workloads, drive adoption of Databricks platform features, partner with product and field teams, and resolve complex data engineering issues.

Lead and develop engineering teams for deep learning solutions. Focus on TensorRT and benchmarking. Drive technical leadership and oversee GPU deep learning implementations.

Manage engineering teams, focusing on recruitment, training, project management, and technical decision support while promoting a strong engineering culture.

Lead design strategy for product areas, conduct user research, mentor designers, and influence product strategy through data-informed insights. Collaborate with product and engineering teams.

Develop and implement software for robotic systems focusing on navigation, planning, and integration of machine learning models.

Lead innovation and analytics in research, marketing, and sales; develop and deploy machine learning models and AI technologies while managing large data sets.

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 Director of Strategic M&A Integration & Value Realisation will lead the integration process of global mergers and acquisitions, focusing on organizational and cultural integration, cost discipline, and value realisation across the company.

The Data Scientist will develop next-generation security analytics products, collaborating with engineers and product managers to design, develop, and optimize ML models and data-driven security solutions.

The Data Engineer will build and maintain data architectures, pipelines, warehouses, and lakes, ensuring data accuracy and security. They will collaborate with data scientists and oversee operational processes within the team, driving continuous improvement.

The Director of Analytics will develop strategies, lead teams, and use advanced analytics to drive business growth and insights.

The role involves understanding privacy laws, conducting assessments, developing privacy programs, and communicating concepts to stakeholders. Relevant certifications are desired.

The role involves advising clients on data privacy compliance, developing privacy programs, conducting assessments, and ensuring ethical data handling practices.

Assist clients in complying with data privacy laws, develop privacy programs, conduct assessments, and promote ethical data handling practices. Manage client relationships and provide regulatory compliance guidance.

The Senior Product Manager will lead AI integration in financial advisory tools, collaborating with various departments to enhance product development and user experience.

As a Senior Backend Engineer, you will design and maintain scalable software solutions, embrace innovation with AI tools, and ensure high-quality engineering practices.

The AI Developer will create applications for stock management, automate invoice processing, optimize OCR processes, and integrate AI/ML solutions.

The Customer Success Associate will provide high-quality support, assisting customers, handling inquiries, and ensuring satisfaction with the company's products and services.

Design and implement scalable Python applications and Microsoft Power Automate workflows; analyze business processes for automation; integrate with Power Apps, SharePoint, and Dynamics 365; monitor, troubleshoot and optimize performance; participate in DevOps/CI-CD practices; document and train users; collaborate with cross-functional teams and mentor junior engineers.

Lead development and validation of predictive models using statistical and ML techniques on large, real-world datasets. Oversee model building teams, ensure data quality, support production deployments, perform production validations, and collaborate with clients and internal teams for model integration and post-implementation support.

The Data Analytics Business Analyst Lead delivers data analytics solutions, collaborates with stakeholders, and drives process improvements in supply chain operations, requiring extensive analytics and collaboration experience.

The role involves architecting and implementing SAP S4HANA solutions, mentoring junior members, and enhancing business operations with technology.