Position: Senior ML/AI Engineer (2266)
Company: Exadel
Experience required: 3y
English level: intermediate

**About Our Customer:**
You will work with the 6th-largest privately owned organization in the United States. The сustomer is one of the "Big Four" accounting organizations and the largest professional services network in the world by revenue and number of professionals. The company provides audit, tax, consulting, enterprise risk and financial advisory services with more than 263,900 professionals globally.

**Position Requirements:**
- Hands-on experience (3-6 years) developing machine learning solutions with Python for Unstructured Text Based Problems (NLP), including: ML problem analysis, Data preparation (Exploratory Data Analysis) and transformation, Feature analysis and selection, Topic Modelling and NER (Named Entity Recognition), ML model selection using parameter tuning, Model result analysis and presentation, Transfer Learning, Developing custom ML Model based on requirement
- Good knowledge of machine learning libraries (like Scikit-learn, NLTK, spacy etc.)
- Strong programming knowledge in Python, Flask, NumPy, Pandas etc.
- Good knowledge in statistics and algorithms
- Experience in image recognition or OCR technology

**Nice to have:**
- Experience in Neural Networks and Deep Learning
- Knowledge of ABBYY for PDF and image processing
- Knowledge of cloud-based solutions, preferably Azure Cloud
- Programming knowledge in MVC/.Net Core Web API, C#, SQL Server

**English level:**Intermediate

**Responsibilities:**
- Understand business objectives and models that help achieve them
- Propose and realize new ideas to benefit our customers and the company
- Fully cover (develop, maintain, and monitor) the entire lifecycle of created models
- Propose new research, improvements, and best practices
- Share knowledge, ideas, and new approaches with team members
- Stay up-to-date with the latest findings in applied data science

**Company offers:**
- Vacation is 20 working days / till 20 working days per year for sick leaves
- Full payment of taxes
- English courses
- Flexible work schedule
- Friendly environment
- Medical insurance
- Sport compensations
- Opportunity for career growth