مهندس ارشد AI/ML | Senior AI/ML Engineer

ما به دنبال یک مهندس ارشد AI/ML هستیم تا توسعه و ادغام راه حل های پیشرفته هوش مصنوعی را برای سیستم عامل های کنفرانس دانشگاهی و محصولات دیجیتال خود هدایت کند. این یک نقش کلیدی است که در آن شما سیستم های هوش مصنوعی را که باعث بهبود عملیات تجاری می شود ، می توانید تجربه مشتری را تقویت کنید ، تجربه مشتری را تقویت کنید و از نوآوری های آینده در چندین پروژه پشتیبانی کنید. و استحکام مدلهای مستقر. یادگیری ماشین ، و پردازش زبان طبیعی. Tensorflow ، بغل کردن ترانسفورماتورهای صورت ، یا مشابه.
• تجربه جامد در کتابخانه های پایتون و ML (پاندا ، نوپی ، scikit-learn و غیره). مهارت های ادغام سیستم.
• امکان برقراری ارتباط با ایده های پیچیده به وضوح و همکاری با تیم های عملکردی متقابل.

خوب داشتن
• تجربه با تنظیم دقیق AI و LLM. تجزیه و تحلیل ، یا جستجوی هوشمند.

We are looking for a Senior AI/ML Engineer to lead the development and integration of advanced artificial intelligence solutions for our academic conference platforms and digital products. This is a key role where you will design, build, and deploy AI systems that improve business operations, enhance customer experience, and support future innovation across multiple projects.

Key Responsibilities

• Data & Model Development
o Build pipelines for data collection, preprocessing, and structuring.
o Fine-tune and optimize AI/ML models for domain-specific use cases.
o Ensure scalability, accuracy, and robustness of deployed models.
• AI Integration & Applications
o Integrate AI models into websites, customer-facing tools, and internal systems.
o Develop AI-driven automation platforms for support, content, and operations.
o Collaborate with product and engineering teams to embed AI seamlessly into workflows.
• Innovation & Research
o Stay ahead of the latest advancements in AI, machine learning, and natural language processing.
o Propose and experiment with new AI use cases to drive efficiency and value.
o Provide technical leadership on AI strategy and roadmap.


Requirements
• Proven experience as a Senior AI/ML Engineer, Data Scientist, or related role.
• Strong expertise in machine learning, deep learning, and natural language processing.
• Proficiency with frameworks such as PyTorch, TensorFlow, Hugging Face Transformers, or similar.
• Solid experience in Python and ML libraries (pandas, NumPy, scikit-learn, etc.).
• Strong background in data engineering, pipelines, and model deployment in production.
• Familiarity with cloud platforms (AWS, GCP, or Azure) for AI solutions.
• Excellent problem-solving, architectural design, and system-integration skills.
• Ability to communicate complex ideas clearly and collaborate with cross-functional teams.


Nice to Have
• Experience with generative AI and LLM fine-tuning.
• Knowledge of retrieval-augmented generation (RAG) pipelines.
• Familiarity with workflow automation or multi-channel AI platforms.
• Exposure to recommendation systems, predictive analytics, or intelligent search.


Work Setup
• Full-time position
• Hybrid work model – flexibility to work remotely, with some required office days for collaboration.


Industry
Academic conferences, publishing, and educational technology.