Summary: Seeking an AI Engineer to design, build, and deploy production-grade intelligent systems that directly impact organizational efficiency and insight. Highlights: 1. Design, build, and deploy AI/ML models for business and operational use cases 2. Work on production-grade AI solutions impacting efficiency and quality 3. Collaborate with leadership to translate ideas into scalable AI systems We are seeking an **AI Engineer** to design, build, and deploy intelligent systems that support real\-world business operations. This role goes beyond experimentation—you will work on production\-grade AI solutions that directly impact efficiency, insight, and quality across the organization. You will collaborate closely with leadership, designers, and operations teams to translate ideas into reliable, scalable AI systems. **Key Responsibilities** * Design, develop, and deploy AI/ML models for business and operational use cases * Build and maintain data pipelines, model training workflows, and inference systems * Work with structured and unstructured data (text, images, operational data) * Integrate AI solutions into existing systems (ERP, internal tools, automation pipelines) * Optimize models for performance, reliability, and cost efficiency * Monitor, evaluate, and continuously improve deployed models * Stay current with advancements in AI, ML, and applied intelligence **Required Qualifications** * Strong experience in **Python** and AI/ML frameworks (TensorFlow, PyTorch, or similar) * Solid understanding of machine learning, deep learning, and data modeling * Experience deploying models to production environments * Familiarity with APIs, microservices, and system integration * Ability to translate business problems into AI\-driven solutions * Strong analytical thinking and attention to detail **Preferred Qualifications** * Experience with **LLMs**, NLP, or computer vision * Experience integrating AI with **ERP systems** or operational platforms * Knowledge of cloud platforms (AWS, GCP, or Azure) * Experience with automation, agents, or decision\-support systems * Background in startup, product\-driven, or innovation\-focused environments Job Types: Full\-time, Permanent Application Question(s): * Have you deployed AI/ML models into a production environment used by real users or business operations? * Which tools or frameworks have you used professionally? * How many years of hands\-on experience do you have building and deploying AI or machine learning models? * Can you describe a project where you integrated APIs for automation or AI chatbots?