Data Scientist — NLP
6 days ago
Our
AI Solution Delivery
team is working in several areas, including NLP and Computer Vision, bringing business value to our products and improving the lives of our customers. Now we are aiming to strengthen several streams and are looking for a mid-level
Data Scientist
to join us on this journey. The primary focus of this role will be the automation of customer support operations, where experience in NLP would be a strong advantage.
Responsibilities:
- Develop, deploy, and maintain machine learning models and systems
- Conduct in-depth data analysis, preparation, and processing
- Contribute to the design of ML systems, focusing on data related aspects like annotation and processing
- Follow established security guidelines and identify potential risks
- Collaborate with peers to review and ensure designs are effective, flexible, and reusable
- Solve issues and provide feedback for engineering design and delivery processes
- Ensure that features are deployed according to requirements and operate without unintended side effects
- Create and maintain comprehensive documentation for models and processes
- Monitor and support deployed solutions to ensure they meet performance expectations
- Actively seek out information and internal solutions to ensure reusability and adoption of common technologies
Qualifications:
- 3 years of experience in the field with focus on NLP
- Previous software engineering experience is preferable
- Strong proficiency in Python and its common data processing frameworks (e.g., for streaming, batch, and asynchronous data)
- Strong foundational knowledge in classical machine learning, deep learning, and advanced mathematics
- Familiarity with MLOps principles and experience using MLOps tools for managing the ML model lifecycle
- Experience with backend systems and infrastructure, and a willingness to learn new technologies (like Golang) for integration purposes
- The ability to design solutions using common design patterns and various design tools
- Experience in experiment design and the ability to validate the credibility of information from various sources
- A solid understanding of the business value of delivered features
- Strong problem solving skills, with an emphasis on using technical facts and reasoning
- Excellent communication and collaboration skills, including active listening and the ability to build consensus
- A strong drive for continuous self development and a collaborative mindset for contributing to communities
Conditions & Benefits:
- Stable salary, official employment
- Health insurance
- Hybrid work mode and flexible schedule
- Relocation package offered for candidates from other regions
- Access to professional counseling services including psychological, financial, and legal support
- Discount club membership
- Diverse internal training programs
- Partially or fully paid additional training courses
- All necessary work equipment
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