AI Engineer

As an AI Engineer, you will develop and leverage AI/ML models, implement Retrieval-Augmented Generation techniques, and work with cross-functional teams to analyze datasets and ensure model deployment. This role includes AIOps responsibilities, model performance oversight, and lifecycle management.

Requirements

• 5+ years of experience in AI/ML engineering, data science, or a related field.
• Proven expertise in building models using frameworks such as TensorFlow, PyTorch, and scikit-learn.
• Proficiency in Python, SQL, and experience with Azure (preferred), AWS, or Google Cloud for scalable AI/ML solutions.
• Strong understanding of Natural Language Processing (NLP), Computer Vision, Generative AI, and other advanced ML techniques.
• Experience with AI-driven solutions for dialogue management, NER, NLU, QA, OCR, and knowledge retrieval.
• Practical knowledge in integrating AI models with SAP, ServiceNow, or similar enterprise systems.
• Hands-on experience in using experiment tracking tools like Weights & Biases (W&B), and proficiency with AIOps tools and techniques.

Benefits

• Opportunity to work with cross-functional teams and leverage AI/ML models
• Develop and enforce guidelines for ethical AI and data governance
• Stay up-to-date with the latest advancements in AI/ML, including new generative AI technologies
• Drive thought leadership through internal knowledge sharing, AI workshops, and external publications