ai engineer

توضیحات آگهی

Requirements Hands on experience building and deploying Machine Learning or AI solutions in a production environment Strong understanding of machine learning fundamentals including model selection training evaluation experimentation data preparation generalization and error analysis Strong problem solving ability able to take an ambiguous business or product problem formulate it as an AI ML problem and determine an effective solution Experience building end to end AI systems from understanding the problem and data through experimentation evaluation deployment and iteration Familiarity with multiple approaches to AI ML including classical machine learning deep learning foundation models embeddings retrieval prompting fine tuning and agentic systems Ability to select and combine different techniques based on the problem rather than being tied to a particular model framework or methodology Strong familiarity with modern AI development practices including AI assisted development coding agents rapid experimentation and automated evaluation Ability to use modern AI development tools effectively to research prototype implement debug evaluate and iterate on AI solutions while maintaining technical ownership of the resulting system Strong understanding of AI system evaluation including selecting meaningful metrics designing experiments analyzing failure cases and measuring real world impact Solid Python skills sufficient to develop understand test and productionize AI ML systems Proficiency in SQL and experience working with real world data Duties AI Problem Solving Identify formulate and solve complex business and product problems using AI ML AI System Design Design end to end AI systems by combining models data prompts retrieval tools agents evaluation and traditional software components where appropriate Approach Selection Investigate different solution strategies and determine the appropriate trade offs between traditional ML deep learning foundation models fine tuning RAG prompting and agentic approaches Rapid Experimentation Build baselines prototype alternative approaches run experiments analyze failures and rapidly iterate toward effective solutions AI Native Development Use modern AI development tools and coding agents to accelerate research implementation experimentation debugging testing and iteration Model Development Develop train fine tune or integrate ML models when the problem requires it AI Application Development Build practical systems around foundation models including LLM applications retrieval systems structured generation tool use and agents Evaluation Design and maintain evaluation processes that measure AI system quality identify failure modes and guide further development Productionization Turn successful solutions into reliable scalable observable and maintainable production systems in collaboration with engineering teams Continuous Improvement Use production feedback experiments and evaluation results to continuously improve AI systems Preferred Competencies Experience building LLM applications RAG systems agentic systems or other foundation model based applications Experience with model fine tuning or parameter efficient fine tuning Experience building automated evaluation and benchmarking systems Familiarity with AI coding agents and AI native development workflows Experience with MLflow or similar experiment tracking and MLOps tools Experience in one or more applied AI domains such as search recommendation NLP computer vision forecasting or ranking Familiarity with software engineering practices such as Git testing debugging and CI CD Demonstrated ability to quickly learn and apply new AI technologies models and development methodologies تهران تهران شهرک غرب شهرک قدس تمام وقت اسنپ شاپ کارشناس ارشد جنسیت تفاوتی ندارد اینترنت تجارت الکترونیک خدمات آنلاین