Top Machine Learning Jobs in India

Lead product roadmap and vision for BeVigil, align with customer needs, collaborate with teams, and track security trends.

Responsible for client onboarding and relationship management, ensuring clients achieve desired outcomes, and driving revenue expansion through proactive engagement and upsell opportunities.

Lead product marketing strategies for CloudSEK's cybersecurity products, focusing on positioning, launching, and enabling sales teams with impactful messaging.

The intern will identify and analyze information from open-source repositories, assist with client requests, and contribute to threat intelligence reporting.

The Post Doctoral Scientist will analyze large-scale datasets related to cardiometabolic diseases, using statistical and computational techniques to identify genetic factors and support therapeutic development.

Lead ML service delivery by coordinating product engineers and data scientists, translating technical concepts for stakeholders, managing AI/ML lifecycle projects, owning incident escalations, implementing quality processes, and mentoring team members to meet customer expectations.

The Staff Machine Learning Engineer will architect and implement scalable GenAI platform solutions, ensuring reliability and safe AI experiences across product lines while mentoring engineers and leading technical strategies.

The Associate Product Manager will build and deploy AI Agents for enterprise customers, managing end-to-end delivery and collaborating with cross-functional teams.

The Visual Pioneering Artist creates cinematographic visuals using advanced technologies, crafting compelling narratives while owning visual tones and workflows.

The Sr AI Solutions Engineer will update stakeholders on solutions, productize Centific AI offerings, implement NVIDIA models, and develop AI-enabled applications.

The Business Intelligence Analyst will design and develop software solutions, troubleshoot complex software issues, and interface with customers for project requirements. Responsibilities include coding, documentation, testing, and reporting.

The Bot & Abuse Analyst will analyze customer traffic, optimize algorithms, build ML pipelines, and collaborate with stakeholders to prevent fraud and abuse.

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.

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.

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