REQUIREMENTS
- Basic experience with Python programming language
- Experience with ChatGPT, Claude or other LLMs
- English language (Intermediate and higher)
- This is a full-time position requiring exclusive commitment
GOOD TO HAVE
- Experience with OpenAI platform (or alternative) and prompt engineering
- Experience with PyTorch, Tensorflow or HuggingFace
- Experience with the following libraries: numpy, pandas, opencv, spacy, nltk, scikit-learn
- Knowledge of data analysis, statistics and data visualisation
RESPONSIBILITIES
- Automatization of information extraction from digital born and scanned documents in various formats (PDF, Excel, Word, Images etc.).
- Building prediction and recommendation models based on the input data and user behaviour.
- Building ML/data pipelines and datasets according to business requirements.
- Analysing and visualising the data and presenting the result to the team.
- Building Enterprise AI Agents
Skills Required
- Basic experience with Python programming
- Experience with ChatGPT, Claude, or other large language models
- Intermediate or higher English proficiency
- Full-time exclusive commitment
- Experience with the OpenAI platform or an alternative
- Prompt engineering experience
- Experience with PyTorch, TensorFlow, or Hugging Face
- Experience with NumPy, pandas, OpenCV, spaCy, NLTK, or scikit-learn
- Knowledge of data analysis, statistics, and data visualization
What We Do
We specialize in transforming Revenue Operations through advanced technological integration, combining AI, analytics, and strategic workflow automation. Our core competency lies in developing comprehensive revenue optimization strategies that unify critical business functions including marketing, sales, billing, enterprise resource planning, and revenue recognition. Leveraging SAP and other vendors' enterprise technologies we deliver sophisticated solutions that enable organizations to: - Develop strategic outcome-based business models - Implement enterprise-wide digital transformation - Optimize complex revenue management processes - Minimize implementation risks and operational costs Our approach is distinguished by: 1. Comprehensive industry expertise 2. Advanced technological architecture 3. Proven deployment methodologies 4. Balanced focus on long-term strategic planning and immediate operational improvements We collaborate with clients to design precision-engineered revenue ecosystems that align technological capabilities with strategic business objectives, ensuring sustainable growth and operational efficiency. Expertise Areas: 1. Intelligent Revenue Operations (iRevOps) 2. Enterprise Technology Integration 3. Strategic Digital Monetization 4. AI-Enhanced Business Process Optimization Our methodological framework transforms complex business requirements into streamlined, data-driven operational strategies.
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