Data Scientist/ Machine Learning Engineer
Data Scientist/ Machine Learning Engineer
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Job Description
We are Aida Recruitment a technology and artificial intelligence-based employee search. For our client we are looking for a Data Scientist/ Machine Learning Engineer.
Requirements
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3 years in a data science or ML engineering role with production-level deployments
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Strong proficiency in Python and key libraries (pandas NumPy scikit-learn)
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Solid grasp of classical ML models: Random Forests XGBoost regression/classification
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Experience designing and maintaining end-to-end data pipelines using Apache Airflow and SQL (PostgreSQL MySQL)
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Skilled in data ingestion via web scraping (BeautifulSoup Scrapy) and API integration
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Hands-on with RAG pipelines and vector databases (e.g. Weaviate)
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Background in NLP tasks such as named entity recognition (NER) and sentiment analysis (spaCy NLTK)
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Proficient in model validation (cross-validation A/B testing)
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Experience working with data lakes and warehouses
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Competent in data visualization using matplotlib Plotly or similar tools
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English proficiency at B2 level or higher
Soft Skills
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Excellent problem-solving abilities with an experimental mindset
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Strong communication and documentation skills
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Comfortable working in a flexible dynamic environment
Responsibilities
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Design and implement ML systems: classification regression time-series and LLM-based applications (AI agents RAG summarization QA)
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Build and manage ETL pipelines using Python and Apache Airflow
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Conduct in-depth data analysis cleaning and validation
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Manage vector databases and contribute to robust RAG pipelines
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Prototype and deploy AI-powered tools including conversational and summarization interfaces
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Apply advanced NLP techniques (NER sentiment analysis) using tools like spaCy and NLTK
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Create insightful visualizations and dashboards
Work Conditions
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Contract type: employment contract
Paid vacations and other banefits
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Work model: 100% Remote
If youre driven by solving real-world problems with ML and AI this opportunity is for you!
Employment Type
Full Time
