Top Machine Learning Jobs in India

Lead design and evolution of cybersecurity automation, enhancing detection and incident response strategies. Mentor team members and improve organizational resilience.

The role involves developing industrial analytics applications using machine learning and statistics, validating asset models, and automating tests for predictive workflows.

As a Technology Product Manager, you will drive the PA Digital product strategy, prioritize the backlog, collaborate with global stakeholders, and ensure high-quality delivery of digital solutions.

Leverage advanced analytics and machine learning to derive insights, develop analytical models, and guide decision-making in retail/CPG. Mentor junior staff and create impactful dashboards.

The candidate will develop algorithms for optimizing therapeutic mRNAs, collaborate with teams on data acquisition, and communicate findings. A Ph.D. in a relevant field is required along with experience in machine learning and bioinformatics.

The Data Analyst/ML Engineer role requires developing and deploying AI/ML models, enhancing client services through innovative generative AI technology, and ensuring compliance.

The AI Consultant supports AI implementation, collaborates with teams, conducts assessments, manages projects, and drives change management for AI strategies.

As an Application Developer, you will design and configure applications, collaborate with teams, mentor junior members, and enhance application performance.

Design and configure applications to fulfill specific business needs, engage in team collaboration, and ensure optimal application performance.

As a Custom Software Engineer, you'll design, build, and configure applications to meet business needs, collaborating with teams and mentoring junior members.

The Data Scientist will develop Generative AI solutions, manage AI agent projects, and participate in demo POCs across industries, leveraging cloud platforms.

The Senior Advisor will design, develop, and deploy AI-driven applications, fine-tuning LLMs, optimizing ML models, and maintaining data pipelines.

In this leadership role, the Principal Architect develops and implements enterprise-wide data security strategies, focusing on AI and ML challenges, while mentoring teams.

Lead the development of AI/ML solutions, focusing on Generative AI models and Deep Learning applications, ensuring robustness and model performance.

The Senior Software Engineering Lead will oversee technical leadership and architecture for the FFT digital platform, drive software development lifecycle, manage external development teams, and identify innovation opportunities, particularly in AI and data-driven applications.

Design and develop machine learning models, leverage big data and cloud platforms, collaborate with stakeholders for production deployment.

The Applied AI ML VP will lead the Fraud Vendor Modeling team, manage vendor models, and ensure compliance and governance while collaborating with various stakeholders in risk management.

The role involves developing AI solutions for banking operations, collaborating with cross-functional teams, managing code lifecycle, and ensuring code quality in the AIML space.

The Data Analyst ensures data quality through validation and cleansing, utilizes advanced algorithms and ML for insights, develops predictive models, and collaborates with cross-functional teams for operational efficiency.

The role involves designing and implementing digital solutions for logistics operations, collaborating with teams, and overseeing distribution centers. It includes improving processes to optimize supply chain efficiency.

The Cybersecurity Specialist protects systems and networks from threats, implements security policies, conducts assessments, and supports security integration in development processes.

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

Lead and grow multiple engineering teams to develop data platforms and services, enforce engineering excellence, and align strategic initiatives with business goals.

The AI Product Lead drives AI product strategy, leads cross-functional teams, collaborates on solution design, and integrates advanced technologies to enhance service delivery and user experiences.

Senior Software Engineer at Kensho focusing on delivering AI solutions to clients, driving technical strategy, and ensuring customer satisfaction through effective communication and prototyping.