استخدام

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به تیم پویا ما در دیتانید بپیوندید و بخشی از تحول در آینده با راه‌حل‌های خلاقانه هوش مصنوعی و یادگیری ماشین باشید. ما یک محیط پویا را ارائه می‌دهیم که در آن مهارت‌ها و خلاقیت شما در کنار فرصت‌هایی برای رشد و توسعه حرفه‌ای شکوفا می‌شود. قدم بعدی در حرفه خود بردارید و با ما در پروژه های پیشگامانه مشارکت کنید.

موقعیت‌های فعال

Requirements

  • Minimum Experience of 1 years as role of Data Scientist or similar
  • Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
  • Knowledge and experience of Python Libraries: Pandas, NumPy, SciPy, StatsModels, Scikit Learn, Seaborn, and Matplotlib.
  • Strong understanding of machine learning techniques and algorithms
  • Knowledge and experience in deep learning and deep learning libraries such as TensorFlow, Keras, and Pytorch.
  • Advanced SQL knowledge and experience working with both relational and non-relational databases, query authoring as well as working familiarity with a variety of other databases and datasets.
  • Understanding the model build life-cycle, including feature selection and optimization, model selection and validation, and ongoing model maintenance.

Preferred Requirement

  • Knowledge and experience in image processing and NLP is a plus.

Requirements

  • Minimum 2 years of software development experience.
  • ۲+ years experience on the data or backend systems side of the software development.
  • Strong industry experience in programming languages such as Python with the ability to pick up new languages and technologies quickly.
  • Experience with Orchestration tools like Airflow is required.
  • Strong experience with Relational databases like SQL Server or Oracle is required.
  • Strong background in Data warehousing and ETL principles, architecture, and its implementation in large environments.
  • Experience working with Machine Learning Systems like Databricks, Feature Stores, MLOps is preferred.
  • Working knowledge on leading cloud platforms like Azure, AWS, GCP; Microsoft Azure experience is preferred.
  • Bachelor’s degree in computer science, Computer Engineering, or related field from an accredited college or university
  • Master’s Degree preferred.

Requirements

  • Experienced with Linux, networking, and Kubernetes.
  • Familiarity with Programming (preferably Golang): experience with writing k8s controllers/operators and Prometheus exporters is a big plus.
  • Experience with the following is a plus: Openstack, Ceph, GitOps.
  • Comfortable communicating in English as well as Persian
  • Problem-solving, you should be comfortable picking up an issue to follow and find/fix the root cause (Essential)
  • Team players, we work as a team to solve problems, support users, and build new features (Essential)
  • Fast learners, we’re constantly looking for new technologies and tools to improve things (Essential)
  • Highly skilled and portraits understanding of various back-end and frontend service
  • Excellent understanding of containers and Docker domain
  •  Consistency, availability and distribution freak with a knack for open-source
  •  Good knowledge of container orchestrations and abstractions
  •  Hands-on experience on CI/CD
  •  Already familiar with automation and configuration-management and ready to undertake in making the infrastructur code transition

Requirements

  • Minimum Experience of 1 years as role of Data Scientist or similar
  • Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
  • Knowledge and experience of Python Libraries: Pandas, NumPy, SciPy, StatsModels, Scikit Learn, Seaborn, and Matplotlib.
  • Strong understanding of machine learning techniques and algorithms
  • Knowledge and experience in deep learning and deep learning libraries such as TensorFlow, Keras, and Pytorch.
  • Advanced SQL knowledge and experience working with both relational and non-relational databases, query authoring as well as working familiarity with a variety of other databases and datasets.
  • Understanding the model build life-cycle, including feature selection and optimization, model selection and validation, and ongoing model maintenance.

Preferred Requirement

  • Knowledge and experience in image processing and NLP is a plus.

Requirements

  • Minimum 2 years of software development experience.
  • ۲+ years experience on the data or backend systems side of the software development.
  • Strong industry experience in programming languages such as Python with the ability to pick up new languages and technologies quickly.
  • Experience with Orchestration tools like Airflow is required.
  • Strong experience with Relational databases like SQL Server or Oracle is required.
  • Strong background in Data warehousing and ETL principles, architecture, and its implementation in large environments.
  • Experience working with Machine Learning Systems like Databricks, Feature Stores, MLOps is preferred.
  • Working knowledge on leading cloud platforms like Azure, AWS, GCP; Microsoft Azure experience is preferred.
  • Bachelor’s degree in computer science, Computer Engineering, or related field from an accredited college or university
  • Master’s Degree preferred.

Requirements

  • Experienced with Linux, networking, and Kubernetes.
  • Familiarity with Programming (preferably Golang): experience with writing k8s controllers/operators and Prometheus exporters is a big plus.
  • Experience with the following is a plus: Openstack, Ceph, GitOps.
  • Comfortable communicating in English as well as Persian
  • Problem-solving, you should be comfortable picking up an issue to follow and find/fix the root cause (Essential)
  • Team players, we work as a team to solve problems, support users, and build new features (Essential)
  • Fast learners, we’re constantly looking for new technologies and tools to improve things (Essential)
  • Highly skilled and portraits understanding of various back-end and frontend service
  • Excellent understanding of containers and Docker domain
  •  Consistency, availability and distribution freak with a knack for open-source
  •  Good knowledge of container orchestrations and abstractions
  •  Hands-on experience on CI/CD
  •  Already familiar with automation and configuration-management and ready to undertake in making the infrastructur code transition