Top Machine Learning Jobs in India

This role focuses on data annotation for machine learning, requiring curation and organization of data for AI training purposes.

The Operations Analyst II coordinates digital service operations, enhances customer experience through AI-driven insights, and monitors performance metrics collaboratively with cross-functional teams.

The Product Manager will develop product vision, strategy, and roadmap, engage with stakeholders, prioritize features, and oversee product launches and analysis.

The Senior Data Scientist will enhance the predictive modeling capabilities of Lyric's platform, focusing on machine learning and statistical methods for supply chain optimization.

The Data Scientist will develop enterprise solutions, implement data strategies, create financial analytics workflows, and employ machine learning for data management and analysis. Responsibilities include building POCs, working with cross-functional teams, and handling data processing and automation tasks.

Design and build AI and ML-driven operational intelligence systems, focusing on reliability, observability, and automation to enhance system operations.

Join eBay's SEO team as a Senior Applied Researcher to lead improvements in data-heavy processes, design ML models, and mentor juniors.

Consult with CPG/FMCG clients on Revenue Growth Management analytics programs, focusing on pricing strategies, promotion analysis, and optimizing revenue growth while leading engagements across diverse global markets.

As a Senior Data Scientist at eBay, you will lead the development of shipping intelligence models, optimizing logistics using ML techniques while collaborating with cross-functional teams to enhance the user shipping experience.

Conduct in-depth AML investigations of alerts escalated from Level 1 for private banking clients; document findings, escalate suspicious activity, meet mandated timeframes, prepare management reporting, support UAT and process improvements, assist audits/regulatory reviews, and liaise with regional compliance teams on cross-border AML protocols.

Join Kyndryl as a Cybersecurity Specialist, where you will protect client systems from cyber threats, implement cybersecurity policies, and conduct assessments and threat analyses.

As a Partner Solutions Engineer, you'll drive partner proficiency with Cloudera's products, architect solutions, and collaborate with multiple teams to optimize partner growth and technical integration.

As a Staff Machine Learning Engineer, you will design and deploy scalable ML systems, lead projects, mentor engineers, and implement MLOps practices, while collaborating with cross-functional teams.

Design and implement AI workflows, develop ML pipelines, collaborate with data scientists, and stay current with LLM research to create impactful solutions.

The role involves building and operating ML pipelines for AI applications, collaborating with data scientists, and implementing scalable systems. Experience in MLOps and full-stack technologies is preferred.

As a Principal AI Engineer, you will define system architecture for AI platforms, ensuring scalability and security while mentoring teams and making architectural decisions.

The role focuses on optimizing power plant performance through data analysis and software solutions, involving machine learning and system integration.

Lead the ethical use and governance of AI, ensuring compliance with legal standards, managing AI risks, and fostering collaboration across teams.

Lead mapping and optimization of credit risk workflows to embed AI capabilities, manage governance and cross-functional working groups, ensure controls and compliance, and support program reporting and stakeholder communication to deliver regulated, strategic credit risk transformation.

The VP will lead global data, analytics, AI, and automation strategy to enhance operational efficiency and support innovation in Orthopaedics.

The role involves designing multi-agent AI systems, building RAG pipelines, integrating LLMs, and optimizing AI solutions on Azure while collaborating with engineering teams.

Design and implement AI systems using LangChain and Azure, build RAG pipelines, integrate LLMs, and collaborate with engineering teams to enhance AI capabilities.

Lead the design and development of innovative video understanding solutions using AI and machine learning techniques to enhance content creation and analysis.

The AI Data Scientist will analyze data using machine learning to provide insights for decision-making and improve operational efficiency, as well as lead and mentor teams in AI initiatives.

Responsibilities include designing and developing cloud-native data platforms, microservices, CI/CD processes, and ensuring scalability and security. Requires hands-on coding and addressing code defects.