Position: Data Scientist
Company: Infopulse
Experience required: 2y
English level: intermediate

We are looking for a talented Machine Learning Engineer/Data Scientist to be a part of our Delivery Studio for one of Big Four consulting company. Integrating closely with our clients as a Data Scientist, you will be developing machine learning models to provide intelligent search capabilities and data analysis, helping our client to develop their operations through building modern data-driven solutions. You will be expected to collaborate extensively with our customers and help them with all parts of creating valuable end-to-end solutions.

This is a chance to join the team developing a cloud-based architecture of the complex business solution – the customized digital audit platform. Our customer is one of the international companies providing audit, tax, consulting, and financial advisory services.

**Areas of Responsibility**
- Build and train machine learning models, such as OpenAI's ChatGPT, to provide intelligent search capabilities
- Be responsible for fine-tuning models to work with Azure Cognitive Search
- Drive and manage data modelling and analysis using data connectors, SQL, Python and Rest APIs
- Cooperation with Development teams

**Qualifications**
- Proficiency in various machine learning algorithms, such as regression, classification, clustering, and deep learning techniques
- Languages such as Python or R, and experience with machine learning libraries like TensorFlow, PyTorch, or scikit-learn
- Experience in deploying machine learning models to production and evaluating their performance using metrics like precision, recall, F1-score, or AUC-ROC
- Libraries like Pandas or dplyr, and data visualization tools like Matplotlib, Seaborn, or ggplot2
- Strong foundation in Statistical analysis, including hypothesis testing, probability distributions, and statistical modelling
- Experience with Natural Language Processing (NLP): techniques and tools, such as tokenization, sentiment analysis, and named entity recognition. 
- English: Intermediate level and above

**Will be an advantage**
- Knowledge of cloud-based machine learning platforms and services, such as Azure Machine Learning, AWS SageMaker, or Google AI Platform
- Familiarity with NLP libraries like NLTK, spaCy, or Hugging Face Transformers is a plus.
- Experience with PySpark or SparkR
- Able to build meaningful visualizations of results
- Experience with Cloud Search Engines and technologies, Data indexing
- Experience with Azure Cloud data services (Datafactory or Synapse, Spark, Azure SQL, Cosmos DB etc.)
- Thorough understanding of relational database concepts, SQL, NoSQL

**Personal skills**
- Naturally curious and always ready to learn, open minded, self-driven

**You will get**
- Dynamic and interesting projects, professional and career development, an opportunity to join a friendly and self-motivated team
- A team structure that is standard across different projects, allowing to easily switch between them and intensively share knowledge and best practices