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Technical Qualifications
- 5+ years of work experience including SaaS systems
- Bachelor’s degree or higher in a related field
- Experience with Object Oriented Programming principles and strong coding skills on Python or any other OO programming languages
- Skills on manually and programmatically interacting with data stored in traditional (relational) databases (MSSQL or PostgreSQL) as well as NoSQL databases and/or columnar data formats
- Solid understanding of machine learning & data science concepts
- Experience with developing and deploying end to end Machine Learning solutions including Machine Learning model serving strategies and inference services
- Experience with Python Data Science / Machine Learning libraries NumPy, Pandas, sklearn, mlflow, lightgbm, xgboost, Tensorflow, PyTorch
- Experience with Python backend development frameworks (e.g., Flask, Django, FastAPI)
- Familiarity with LLMs and Generative AI technologies
- Ability and motivation to self-teach while entering new domains and managing through ambiguity
Preferred Qualifications
- Knowledgeable on Deep Learning and its fields including NLP, Large Language Models, Computer Vision
- Knowledgeable of modern big data solutions and distributed platforms for processing large and complex data sets
- Familiarity on supply chain analytics problems such as demand forecasting, inventory and price optimization
- Familiarity with DevOps, MLOps, DataOps, and Platform Engineering concepts
Key Skills
Ranked by relevance
machine learning
python
deep learning
postgresql
tensorflow
big data
django
devops
pandas
mlflow
nosql
flask
numpy
mlops
saas
ai
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- Posted
- Feb 06, 2026
- Type
- Full-time
- Level
- Mid-Senior
- Location
- Türkiye
Industries
Retail
Financial Services
Categories
Information Technology
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3 roles aligned with this opportunity
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2026-05-20
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2026-05-28
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