AI Engineer

Responsibilities:

• Design, develop, and deploy AI-powered solutions to address complex business challenges and drive digital transformation initiatives.
• Select appropriate machine learning, deep learning, and Generative AI algorithms based on business requirements and technical feasibility.
• Build, train, evaluate, and optimize AI models to achieve high levels of accuracy, performance, and scalability.
• Fine-tune machine learning models, large language models (LLMs), and Generative AI solutions using advanced techniques and best practices.
• Convert AI and machine learning prototypes into production-ready APIs and enterprise-grade applications.
• Integrate AI solutions with existing SAP and enterprise business applications to enhance operational efficiency and decision‑making.
• Develop and maintain scalable data ingestion pipelines, model training environments, and production infrastructure.
• Support the deployment, monitoring, and lifecycle management of AI models in production environments.
• Continuously monitor deployed models for performance degradation, data drift, bias, and reliability concerns.
• Implement model optimization strategies to improve scalability, efficiency, and business outcomes.
• Collaborate closely with data scientists, software engineers, architects, and business stakeholders to translate business challenges into AI use cases.
• Contribute to AI governance, security, compliance, and responsible AI practices.
• Maintain technical documentation, solution designs, and deployment procedures.
• Stay current with emerging AI, machine learning, and Generative AI technologies and industry trends.

• 6-8 years of experience in Artificial Intelligence, Machine Learning, Data Science, or AI Engineering roles.
• Strong expertise in machine learning, deep learning, and Generative AI technologies.
• Hands‑on experience building, training, and deploying machine learning and AI models in enterprise environments.
• Experience working with Large Language Models (LLMs), prompt engineering, and Generative AI frameworks.
• Strong understanding of model selection, feature engineering, hyperparameter tuning, and model optimization techniques.
• Experience developing APIs and integrating AI solutions into business applications and enterprise platforms.
• Knowledge of scalable data pipelines, model training infrastructure, and production AI environments.
• Experience monitoring production models for performance, reliability, and data drift.
• Understanding of MLOps practices, model lifecycle management, and AI deployment strategies.
• Strong analytical, problem‑solving, and troubleshooting capabilities.
• Experience collaborating with cross‑functional teams in Agile delivery environments.
• Excellent communication and stakeholder management skills.
• Ability to translate business requirements into practical AI‑driven solutions.

• Design and implement scalable AI and machine learning solutions for enterprise environments.
• Transform business challenges into innovative AI use cases and technical solutions.
• Deploy, monitor, and optimize AI models throughout their lifecycle.
• Integrate AI capabilities seamlessly into existing business applications and processes.
• Collaborate effectively with technical and business stakeholders.
• Drive AI innovation while maintaining governance, security, and operational excellence.
• Troubleshoot complex AI, data, and infrastructure‑related challenges.
• Adapt quickly to evolving AI technologies and business requirements.

• Opportunity to work on cutting‑edge AI, Machine Learning, and Generative AI initiatives.
• Exposure to enterprise‑scale digital transformation and intelligent automation programs.
• Collaborative and innovation‑focused engineering environment.
• Opportunities for continuous learning, research, and professional development.
• Dynamic workplace encouraging technical leadership, creativity, and ownership.
• Exposure to advanced AI technologies, cloud platforms, and next‑generation enterprise solutions.

Want to discuss this opportunity in more detail? Feel free to reach out.