Top Machine Learning Jobs in India

The Sr. Security Engineer will design advanced DLP solutions, implement AI data classification, and create protection standards for sensitive IP within the organization.

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.

The Specialist role involves analysis, design, and optimization of telecom networks, supporting pre-sales activities, and proposing scope of work for services.

The role involves guiding the team in Network Design & Optimization, analyzing AI/ML requirements, and validating results to enhance telecom solutions.

Responsible for technical authority and support, managing maintenance activities, providing incident management, and executing change requests in RAN environments.

The Sales Executive is responsible for selling SailPoint's IGA Solution Suite to large organizations, engaging with C-level executives, and maintaining relationships with key clients while navigating a lengthy sales cycle.

Lead the development of AI-enabled healthcare products, collaborating with cross-functional teams to enhance patient-centric solutions and drive business impact.

The Clinical Data Manager oversees clinical trial databases, ensuring data quality through management, validation, and reporting, while utilizing AI and analytics tools.

The role involves designing and developing Generative AI solutions, engaging with business stakeholders, leading technical projects, and mentoring team members.

The AI/ML Engineer influences team designs, manages tech stack selection, and applies machine learning models to solve complex problems, focusing on AI performance metrics.

Lead Six Sigma initiatives to improve operational efficiency and business objectives, managing teams and collaborating with stakeholders across the organization.

Lead strategic initiatives for AI-enabled products, manage teams, drive product strategy and execution, mentor junior members, ensure regulatory compliance.

As a Staff Data Scientist, lead complex data science projects, define analytical frameworks, and mentor team members to improve healthcare outcomes using advanced models.

The Director will lead AI strategy and product management for Mastercard, focusing on developing AI products and systems, overseeing portfolio management, and driving integration and evaluation of AI technologies.

The Engineering Lead will design and implement technical features, work on ML pipelines, and mentor engineers while ensuring high-quality deliverables. This role requires collaborating with teams and managing the ML lifecycle for business value.

Lead software engineer focused on AI Ops and observability, responsible for designing and implementing AI-powered monitoring systems, conducting root cause analysis, and mentoring teams.

The role involves designing and developing AI/ML solutions, building predictive models, ensuring model governance, and collaborating with stakeholders to create impactful analytics solutions.

The Senior AI Engineer will align AI solutions with business goals, support PoCs execution, collaborate on AI applications, and evaluate technologies in AI advancement.

Lead the development of generative AI systems, overseeing multi-agent AI architectures, machine learning pipelines, and implementing responsible AI practices. Drive innovation in AI applications using various frameworks and databases while managing cross-functional teams.

The Associate Managing Consultant, Performance Analytics will manage project deliverables, develop analytics strategies, create predictive models, and mentor junior consultants in a fast-paced environment.

The AI Engineer designs AI solutions for data management and governance, employing machine learning to enhance data quality and compliance.

Design and deliver production-grade GenAI systems and agents for Telecom OSS/BSS: build RAG pipelines, train and optimize LLM/SLM models, deploy scalable Python services/APIs, and integrate cloud-native ML solutions to drive automation, intelligence, and decisioning at scale.

The role involves leading Network Design and Optimization projects, consulting with customers, developing solutions, and managing network performance and support services primarily focused on radio network optimization and new technologies.

Design and implement technical features, collaborate with clients, write production-ready code, ensure quality deliverables, mentor team members, and implement ML models on large scale.

Lead strategy and transformation initiatives in healthcare, conduct assessments, architect AI-driven processes, and mentor junior consultants.