SAP Returnship- SAP S/4 HANA AI/ML Expert Industries 

India, Karnataka, Bengaluru 

977637742

What you’ll do

• AI Strategy Development: Define and drive the organization's AI strategy, identifying opportunities for AI adoption to enhance business processes, improve decision-making, and achieve competitive advantage.
• AI Architecture Design: Senior Developer and design scalable, reliable, and efficient AI systems and infrastructure that support the development, deployment, and maintenance of AI solutions.
• Technology Evaluation: Evaluate emerging AI technologies, frameworks, and tools to assess their suitability and potential impact on the organization's AI capabilities.
• AI Solution Design: Collaborate with data scientists, software engineers, and domain experts to design end-to-end AI solutions that align with business requirements, ensuring scalability, performance, and maintainability.
• Data Architecture: Define the data architecture, data pipelines, and data integration strategies required to support AI initiatives, including data ingestion, storage, transformation, and retrieval.
• Model Selection and Evaluation: Guide the selection and evaluation of machine learning and deep learning models, ensuring they are aligned with business goals and meet performance, accuracy, and interpretability requirements.
• Infrastructure Planning: Collaborate with IT teams to define the infrastructure requirements for AI solutions, including hardware, cloud services, and deployment frameworks.
• Security and Compliance: Ensure AI solutions adhere to security and privacy standards, as well as regulatory compliance requirements, considering aspects such as data protection, confidentiality, and ethical considerations.
• Team Leadership and Collaboration: Lead a team of AI developers and engineers, providing technical guidance, mentorship, and fostering collaboration across teams to achieve successful AI solution deployments.
• Industry Knowledge and Innovation: Stay abreast of the latest trends, advancements, and best practices in AI, actively seeking opportunities to drive innovation and introduce new AI capabilities to the organization.

What you bring

• Bachelor's or master's degree in computer science, data science, or a related field. A Ph.D. in a relevant discipline is a plus.
• 8+ years of extensive experience in designing and architecting AI solutions, with a strong understanding of machine learning, deep learning, and data analytics techniques.
• Proven track record of successfully leading and delivering large-scale AI projects, from conception to deployment.
• Strong knowledge of AI frameworks, libraries, and tools, such as TensorFlow, PyTorch, scikit-learn, and cloud-based AI services.
• Expertise in data architecture, including data modeling, data integration, and data governance principles.
• Familiarity with big data technologies, such as Hadoop, Spark, and distributed computing frameworks.
• Experience with cloud platforms and services, such as AWS, Azure, or Google Cloud, for scalable and reliable AI infrastructure.
• Understanding of software engineering principles, DevOps practices, and agile methodologies.
• Excellent leadership and communication skills, with the ability to effectively collaborate with stakeholders at all levels of the organization.
• Strong analytical and problem-solving abilities, with the capability to assess complex business requirements and translate them into AI solutions.
• Demonstrated ability to stay up to date with the latest AI research, trends, and industry advancements.

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