Top Machine Learning Jobs in India

The role involves designing and implementing ML models, collaborating with teams on technical requirements, conducting research on new technologies, and mentoring junior engineers.

As a Network Engineer at Ericsson, you'll analyze, design, and optimize telecom networks, engage in pre-sales activities, and document service offerings.

Manage a team in securities operations, focusing on strategy development, financial reporting, risk control, and team mentorship.

The role involves designing and implementing machine learning tools for data analysis, developing pipelines for various sensor datasets, and integrating applications into verification ecosystems while guiding junior engineers.

The role involves building and maintaining large-scale ML systems, collaborating with data scientists, and solving complex challenges in cybersecurity.

Lead the execution of data-driven modeling and analytics solutions for Technology Development, applying advanced data analysis and machine learning, while mentoring a team and collaborating cross-functionally.

Lead and manage a team of Machine Learning Engineers and Data Scientists to develop ML solutions that enhance user engagement and support business objectives in digital entertainment.

The Specialist Generative AI will develop and integrate generative AI solutions into enterprise applications, ensuring compliance with IT security standards and optimizing AI performance.

Lead the sales technology strategy and manage product lifecycle for CRM and sales automation platforms. Collaborate with various stakeholders to implement solutions, drive digital adoption, and enable data-driven decision making.

Senior software engineer responsible for designing, developing, deploying, and maintaining scalable, highly available backend services. Lead architectural decisions, mentor junior engineers, own production systems, contribute to testing and automation, and collaborate with product and client teams to solve complex problems across distributed systems and data platforms.

The Staff Software Engineer will design and build AI platform infrastructure, mentor engineers, and drive the adoption of AI development practices across engineering teams.

The Six Sigma Consultant drives enterprise-wide process transformation through systems thinking and Lean Six Sigma methodologies, collaborating with cross-functional teams to implement digital transformation and improve client experience.

Drive enterprise-wide process transformation through systems thinking and Lean Six Sigma techniques. Develop target operating models, manage complex projects, and enhance client experiences by collaborating with technology and product teams.

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 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.

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 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.

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