تیم لید هوش مصنوعی | AI Team Lead

saman electronic payment (sep), a leading fintech company, is looking for a results-driven and technically skilled ai team lead to drive the development of ai-powered solutions.


key responsibilities:

lead and mentor a team of ai engineers to build intelligent solutions for the payment ecosystem.
manage end-to-end ai/ml projects — from idea to deployment — with clear planning, تخمین ، و اجرای.
با ذینفعان در محصول ، ریسک و تجربه مشتری برای درک نیازها و ترجمه آنها به راه حل های داده محور همکاری کنید.
طراحی و اجرای موارد استفاده از AI. ساختمان. Pytorch).
آشنا با چارچوب های داده های بزرگ مانند Hadoop و Spark و خطوط لوله داده در زمان واقعی. خطوط لوله
کنترل نسخه (GIT) ، آزمایش ، اشکال زدایی.
REST/GraphQL API توسعه و ادغام با سیستم های تولید.

Saman Electronic Payment (SEP), a leading fintech company, is looking for a results-driven and technically skilled AI Team Lead to drive the development of AI-powered solutions.


Key Responsibilities:

Lead and mentor a team of AI engineers to build intelligent solutions for the payment ecosystem.
Manage end-to-end AI/ML projects — from idea to deployment — with clear planning, estimation, and execution.
Collaborate with stakeholders in product, risk, and customer experience to understand needs and translate them into data-driven solutions.
Design and implement AI use cases.
Ensure reliable and scalable delivery of machine learning systems in production environments.
Maintain thorough technical documentation for models, systems, and user guides.
Help scale the AI function by participating in hiring, team development, and capability building.

Requirements

-Bachelor's or Master's degree in Artificial Intelligence, Computer Science, Data Science, Engineering, or a related field.
-Over 5 years of experience in data science, machine learning, or software development, with at least 2 years in a leadership role.
-Proficient in Python, with experience using ML/DL libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
-Familiar with big data frameworks like Hadoop and Spark, and real-time data pipelines.
-Solid understanding of model deployment and MLOps practices (e.g., CI/CD, versioning, monitoring).
-Supervised, unsupervised, and reinforcement learning.
-Neural networks, transformers, and LLMs.
-Data preprocessing, feature engineering, ETL pipelines
Version control (Git), testing, debugging.
-REST/GraphQL API development and integration with production systems.
-Strong business acumen and communication skills for cross-functional collaboration.
-Experience with cloud platforms (AWS, GCP, or Azure) is a plus.
-Experience in the fintech, banking, or digital payments industry is a plus.