We are looking for an AI Engineer to take ownership ofour AI initiatives, driving the development and integration ofAI/ML solutions across our products and services. This role will beresponsible for designing, implementing, and maintaining AI models,particularly focusing on LLMs (Large Language Models) and otheradvanced AI technologies. You will work closely withcross-functional teams to identify use cases, provide technicalguidance, and ensure AI solutions are scalable, efficient, andaligned with business objectives. Key Responsibilities 1. Design,fine-tune, and deploy LLMs and other AI/ML models to solve businesschallenges. Optimize models for efficiency, scalability, andperformance. 2. Implement prompt engineering, retrieval-augmentedgeneration (RAG), and model fine-tuning strategies as needed. 3. Write clean, efficient, and well-documented code in Python,leveraging AI/ML frameworks such as TensorFlow, PyTorch, or HuggingFace. 4. Develop and maintain APIs and integrations that allow AImodels to interact with internal and external systems. Ensurerobust testing, debugging, and performance tuning of AI models andservices. 5. Provide technical leadership and guidance on AIimplementation best practices. 6. Collaborate with productmanagers, data engineers, and other stakeholders to align AIinitiatives with business goals. 7. Stay updated on emerging AItechnologies and trends to identify new opportunities. 8. Deployand manage AI models in production environments using cloudplatform (Azure). 9. Implement MLOps best practices, ensuringcontinuous monitoring, retraining, and version control of AImodels. Manage data pipelines for training and inference, ensuringhigh-quality and secure data handling. 10. Ensure AI models alignwith ethical standards, privacy regulations, and company policies. Conduct regular audits for model bias, fairness, andexplainability. Qualifications & Skills Required: 1. 2+ yearsof experience in AI/ML engineering, with hands-on experienceworking with LLMs. 2. Strong programming skills in Python andexperience with AI frameworks like TensorFlow, PyTorch, HuggingFace, LangChain, OpenAI API. 3. Experience deploying AI models incloud environments (Azure or AWS). 4. Familiarity with MLOps toolsfor model deployment, monitoring, and lifecycle management. Knowledge of NLP, deep learning, and generative AI techniques. 5. Strong problem-solving skills and ability to work independently asthe AI engineering lead. 6. Excellent communication skills toprovide technical guidance and collaborate with cross-functionalteams. Nice to Have: 1. Experience with LLM fine-tuning andcustomization (LoRA, RLHF, PEFT). 2. Hands-on experience withAI-driven automation, chatbots, or search augmentation. Backgroundin data engineering for AI model training. 3. Experience withvector databases (e.g., Pinecone, FAISS, ChromaDB) for RAGimplementations. Experience with containerization (Docker) andCI/CD pipelines for AI deployment. 4. Understanding of ethical AIprinciples, privacy laws (GDPR, CCPA), and compliance bestpractices. Why Join Us? 1. Opportunity to lead and own the AIengineering efforts in an innovative company. Work on cutting-edgeAI technologies and contribute to strategic AI initiatives. 2. Collaborative and growth-oriented environment with learning anddevelopment opportunities. Competitive salary, benefits, andflexible work arrangements. About Us IANS is an informationsecurity advisory and consulting firm serving Fortune-classorganizations. Through our Faculty, we provide in-depth insightsand decision support to help security teams achieve technicalexcellence, integrate security more deeply within theirorganizations, and manage risk. The IANS Faculty are independent,hands-on practitioners and thought leaders in the informationsecurity community. The skills and expertise of this expert networkare at the core of our services, insights, and educational events. #J-18808-Ljbffr Engineering