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AI/ML Engineer

Gandiva IT Services
Anywhere in India/Multiple Locations
4 - 7 Years

Posted on: 13/03/2026

Job Description

Company Overview :

We are a leading SAP Consulting firm, specializing in providing comprehensive SAP solutions to businesses across various industries. Our expertise spans implementation, customization, and optimization of SAP systems, enabling our clients to streamline operations, enhance efficiency, and drive growth. We work with a diverse portfolio of clients, ranging from large multinational corporations to mid-sized enterprises, helping them leverage the power of SAP to achieve their business objectives.

Role Overview :

As an AI/ML Engineer, you will be responsible for designing, developing, and deploying machine learning models and AI-powered solutions within the SAP ecosystem. You will collaborate closely with SAP consultants, business analysts, and clients to understand their needs and translate them into innovative AI/ML applications. Your work will directly impact our clients' ability to automate processes, gain data-driven insights, and improve decision-making.

Key Responsibilities :

- Develop and implement machine learning models using Python, PyTorch, and TensorFlow to address specific business challenges within the SAP environment.

- Collaborate with SAP consultants and business analysts to gather requirements and translate them into AI/ML solutions.

- Deploy and maintain machine learning models in production environments, ensuring scalability and reliability.

- Evaluate and improve the performance of machine learning models through rigorous testing and validation.

- Research and stay up-to-date with the latest advancements in AI/ML to identify opportunities for innovation within the SAP space.

- Communicate technical findings and recommendations to both technical and non-technical audiences.

Required Skillset :

- Demonstrated ability to develop and deploy machine learning models using Python, PyTorch, and TensorFlow.

- Proven experience in applying machine learning techniques to solve real-world business problems.

- Strong understanding of statistical modeling, data analysis, and machine learning algorithms.

- Excellent communication and collaboration skills, with the ability to work effectively in a team environment.

- Bachelor's or Master's degree in Computer Science, Statistics, or a related field.

- Ability to adapt to a dynamic consulting environment and work on multiple projects simultaneously.

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