ازکی
ازکی

Senior Data Scientist

Tehran/ Saei-Tavanir
Full Time
Saturday to Wednesday
-
Loan -Health insurance -Flexible working hours -Learning stipends -Game room
201 - 500 employees
Internet Provider / E-commerce / Online Services
Iranian company dealing only with Iranian entities
1395
Privately held
توضیحات بیشتر

key Requirements

4 years experience in similar position

Job Description

At Azki’s Data Team, we are looking for a Senior Data Scientist — a responsible and skilled problem-solver who can turn complex data into AI-powered solutions and data-driven products.


Responsibilities

  • Collaborate closely with cross-functional teams (data, product, engineering, and business stakeholders) to design and deliver data science and AI projects.
  • Build reliable end-to-end data science and machine learning pipelines with automated deployment, real-time monitoring, and robust evaluation metrics.
  • Design and run experiments (A/B tests) to measure the impact of models, product changes, and business initiatives.
  • Design and optimize RAG pipelines, embeddings, and vector search systems to enable efficient knowledge retrieval across structured and unstructured data.
  • Design, build, and maintain LLM-powered agents and workflows with tool integration, memory, and API calls to solve real problems in Azki’s product domain.

Required Skills

  • At least 4 years of experience in Data Science, Machine Learning, or related fields.
  • Proficiency in Python, with the ability to write clean, modular, maintainable, production-ready code.
  • Solid knowledge of Machine Learning and Deep Learning methods.
  • Hands-on experience with LLM applications and agent orchestration tools such as LangGraph.
  • Experience deploying models at production scale using Git, Docker, Airflow, Kubernetes.
  • Strong SQL skills and familiarity with databases such as MySQL and ClickHouse, along with analytics tools like Metabase and Trino.


Preferred/Optional Skills

  • Experience with real-time voice processing, including speech recognition, transcription, or audio feature extraction for ML applications.
  • Familiarity with Vision-Language Models, including multimodal tasks such as image captioning, visual question answering, or integrating visual understanding into LLM applications.
  • Experience in mentoring and supporting team members in their career growth, including close collaboration and pair work to improve project outcomes.

Job Requirements

Gender
Men / Women

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