استخدام senior data scientist (دورکاری)

توضیحات آگهی

About the Role
We are seeking an experienced Data Scientist AI Engineer with strong software engineering fundamentals to join our growing team In this role you will design build and deploy production grade machine learning systems spanning time series forecasting anomaly detection classification and NLP that drive core decision making across our platform
This is not a research only position You will own models end to end from exploratory analysis and experimentation through to production deployment monitoring and iteration You will work within a collaborative engineering culture that values clean code testability and operational excellence
Responsibilities
Research design and implement ML models for time series forecasting classification anomaly detection and NLP tasks
Develop and iterate on deep learning models using PyTorch including transformer based architectures for sequential and textual data
Conduct exploratory data analysis EDA and feature engineering on structured and unstructured datasets
Design and run experiments systematically leveraging MLflow for experiment tracking model versioning and reproducibility
Optimize model training and inference for performance including GPU memory management and batch processing strategies
Stay current with state of the art research and evaluate new techniques for applicability to our domain
Write clean testable and maintainable code following Clean Architecture and modern Python best practices
Implement asynchronous and functional programming patterns where appropriate to optimize performance
Develop and maintain automated tests using pytest following Test Driven Development TDD practices
Contribute to the ML platform codebase with proper dependency injection and testable design patterns
Automate CI CD pipelines using GitHub Actions and maintain a healthy monorepo structure
Support Docker based development including multi container setups and container orchestration
Collaborate with data engineers to define data requirements build training datasets and ensure data quality
Deploy models into production within containerized cloud environments and monitor their performance
Monitor troubleshoot and optimize cloud based applications and data workflows
Required Skills Qualifications
Strong foundation in supervised and unsupervised learning statistical modeling and probability theory
Hands on experience with PyTorch for building and training deep learning models CNNs RNNs Transformers
Experience with time series analysis and forecasting methods classical and deep learning based
Familiarity with NLP techniques including text classification named entity recognition and transformer based language models
Experience with scikit learn for classical ML workflows and model evaluation
Proficiency in pandas NumPy and data visualization libraries matplotlib seaborn plotly
Strong skills in feature engineering data preprocessing and handling imbalanced or noisy datasets
Experience with experiment tracking and model registry tools MLflow preferred
Understanding of hyperparameter tuning strategies and model selection best practices
Strong Python skills with experience in OOP functional programming dataclasses dependency injection and async programming
Familiarity with FastAPI or other modern Python web frameworks
Experience implementing Clean Architecture and working with monorepo structures
Strong experience with version control Git GitHub and CI CD pipelines GitHub Actions
Experience with TDD and automated testing using pytest
Azure Function Apps Container Apps Container Jobs EventGrid Blob Storage
AWS Lambda EC2 ECS EventBridge S3
PostgreSQL MongoDB Redis
SQLAlchemy Alembic for migrations and ORM based data modeling
Docker and Docker Compose experience
Familiarity with GPU based training workflows and resource optimization
Understanding of event driven architectures for triggering training and prediction jobs
Soft Skills
Ability to communicate complex modeling decisions clearly to both technical and non technical stakeholders
Strong analytical thinking and meticulous attention to detail
Comfortable working in a fast paced startup environment with evolving priorities
Self driven with the ability to own projects from research through production deployment
Preferred Qualifications
Experience with complex data rich industry domains e g logistics finance operations
Familiarity with graph based models or knowledge graphs for network analysis
Experience with LLMs and retrieval augmented generation RAG pipelines
Knowledge of causal inference methods
Experience with distributed training or model parallelism for large scale models
Education Preferred
Bachelor s or Master s degree in Computer Science Computer Engineering Statistics Data Science Applied Mathematics or a related quantitative field
Strong foundation in linear algebra calculus probability optimization algorithms data structures databases and software engineering principles
Note
Please submit your resume in English only
شرکت رستم Rostam
دسته بندی وب برنامه نویسی و نرم افزار
نحوه همکاری تمام وقت دورکاری
نوع همکاری دورکاری
مدرک تحصیلی کارشناسی
سابقه کار بیش از شش سال
حقوق از 150 000 000 تومان
جنسیت مهم نیست
مهارت ها Data science Python Pytorch FastApi OOP
شهر تهران تهران