Position: Senior Data Scientist
Company: N-IX
Experience required: 5y
English level: upper

**Project responsibilities:**

Use a variety of leading-edge AI/ML tools to develop, test, and maintain
Data pipelines within the Platform Reference Architecture
Build ML prediction models in a tax services domain
Help design the architecture of ML models
Production of NLP models using SageMaker and SageMaker Model Registry
Implement related Python functionality
Develop APIs using best practices

**Required technical skills/toolset:**

Experience with AWS Sagemaker
Fluency in Python
Experience with pandas, SciPy, NumPy, NLP, BERT, and PyTorch

**People:**

Work directly with management, product teams, and practice personnel to understand and execute their AI/ML requirements
Maintain a positive work atmosphere by behaving and communicating in a manner that encourages productive interactions with customers, co-workers, and supervisors
Develop and engage with colleagues by creating a motivating work environment that recognizes, holds team members accountable, and rewards strong performance
Foster an innovative, inclusive, and diverse team environment, promoting positive team culture, encouraging collaboration and self-organization while delivering high-quality solutions

**Client:**

Collaborate on an Agile team to design, develop, test, implement and support highly scalable AI/ML solutions
Collaborate with product teams and clients to deliver robust cloud-based
AI/ML solutions that drive tax decisions and provide powerful experiences
Analyze user feedback and activity and iterate to improve the services and user experience

**Value**
Function as a subject-matter expert by staying current on the latest research, experimenting with new technologies, and sharing that knowledge internally
Ensuring strict compliance with all information and data security policies, best practices, and requirements
Creating and implementing robust cloud-based data solutions that scale effectively, and provide powerful experiences for both internal teams and clients
Performing unit tests and conducting reviews with other team members to make sure solutions and code are rigorously designed, elegantly coded, and effectively tuned for performance
Perform other duties as assigned

**Additional Required Skills and Experience:**

Command of one or more AI/ML domains and associated open source libraries, including natural language processing (NLTK) or image recognition (OpenCV)
Command of one or more Machine Learning/Deep Learning frameworks, including Keras, PyTorch, Caffe, Scikit-Learn or Tensorflow
Knowledge of common optimization algorithms and the approaches to tuning and evaluating such algorithm
Knowledge of one or more database platforms, preferably cloud-based
Knowledge of at least one AI/ML pipeline technology or platform
Experience deploying, monitoring, and maintaining data pipelines in a production environment
Develop diagrams representing key data entities and their relationships
Generate a list of components needed to build the designed system
Communicate clearly, simply, and effectively
Commitment to diversity, accountability, transparency, and ethics

**We offer:**
Flexible working format - remote, office-based or flexible
A competitive salary and good compensation package
Flexible and personalized career growth
Professional development tools (mentorship program, tech talks and training, centers of excellence, and more)
Active tech communities with regular knowledge sharing
Education reimbursement
Paid vacation days, sick leaves, and days off
Healthcare & Sport program
Medical insurance
Memorable anniversary presents
Corporate events and team buildings