AI Architect – Engineer Full Time

Responsibilities

• Understand business objectives and develop models to achieve them
• Use computer science fundamentals, including data structures and algorithms
• Analyze ML algorithms and rank them by success probability
• Build algorithms and maintain scalable machine learning solutions
• Apply machine learning algorithms and libraries
• Explore and visualize data to understand it and identify distribution differences
• Verify data quality and ensure it via data cleaning
• Supervise the data acquisition process for additional data needs
• Find available datasets online for training
• Train models and tune their hyperparameters
• Analyze model errors and design strategies to overcome them
• Manage infrastructure and data pipelines for production deployment
• Support engineers and product managers in implementing machine learning
• Collaborate with data engineers to build data and model pipelines
• Liaise with stakeholders to analyze business problems and define requirements
• Develop machine learning applications according to requirements

Requirements

• Proven experience as a Machine Learning Engineer or similar role
• Understanding of data structures, data modeling, and software architecture
• Deep knowledge of math, probability, statistics, and algorithms
• Technical expertise in AI, ML, deep learning, and related technologies
• Experience in developing AI/ML models in real-world environments
• In-depth experience with AWS and/or Microsoft Azure AI/ML services
• Effective data exploration and visualization experience (e.g. Excel, Power BI)
• Familiarity with machine learning frameworks and libraries
• Excellent communication skills and teamwork ability
• Outstanding analytical and problem-solving skills
• Ability to explain complex processes to non-experts
• Experience with Amazon Cloud and AWS AI services
• Upper-Intermediate English proficiency or higher
• Previous client communication experience with a technical consulting ability
• Pharma domain background

Benefits

• Competitive compensation with performance-based reviews
• Join a passionate, experienced team in a friendly atmosphere
• Opportunities for professional and career advancement
• Paid Time Off: 18 business days per year (20 after 2 years)
• Sick Leave: Non-documented 4 days/year, documented 20 days/year
• Family Leave: 3 paid days for marriage, childbirth, or bereavement
• Comprehensive medical insurance coverage
• English courses for language improvement
• Participation in forums and conferences for professional development
• Regular team-building activities and corporate events
• Comfortable, fully equipped office with work-from-home options