Senior AI Engineer (AI ML / English)

Top 3 reasons to join us

• Perks & benefits for well-being and balance
• Access to top tech and modern engineering
• A culture of growth, collaboration & learning

Job description

We are looking for an experienced Senior AI Engineer with practical experience in developing AI-based solutions and a strong commitment to secure software development practices in accordance with the Asseco Secure Development Lifecycle (SDLC).
This role combines strong technical expertise, the ability to work independently, and a responsible approach to security, quality, and documentation. The developer will also play an important role in maintaining project know-how and supporting knowledge sharing with new team members to ensure continuity and minimize the impact of staff turnover.
 

Your skills and experience

Key Responsibilities

• Design, develop, test, and optimize AI/ML solutions (e.g., machine learning models, NLP solutions, predictive models, AI automation services).
• Integrate AI components into existing or newly developed software systems.
• Work with data, including dataset preparation, validation, processing, and quality control.
• Collaborate with architects, analysts, and infrastructure teams to design AI system architecture.
• Follow secure development standards according to the Asseco Secure Development Lifecycle (SDLC).
• Prepare and maintain technical documentation and participate in code reviews.
• Monitor model performance and continuously improve deployed models.
• Identify and mitigate AI-related risks, such as bias, data leakage, and security vulnerabilities.
• Ensure compliance with privacy and data protection regulations, including handling sensitive data.                                     

Requirements (Must-have)

• 5+ years of experience in software development, including at least 3 years in AI/ML development.
• Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Strong knowledge of Python (experience with FastAPI, Flask, or similar frameworks is an advantage).
• Practical experience in training, tuning, and deploying AI models.
• Professional English proficiency in both spoken and written communication (Must Have)
• Experience with data preparation, data pipelines, or MLOps is a plus.
• Understanding of modern software engineering practices, including CI/CD, Git, and containerization.
• Ability to follow secure development methodologies, especially in areas such as:
  - osecurity requirements analysis
  - oinput validation and data integrity checks
  - osecure integration of AI components
  - ologging, monitoring, and auditability
  - oAI risk management and mitigation of model vulnerabilities
• Knowledge of cybersecurity principles is an advantage.                                          

Why you'll love working here

• Base Salary: Negotiable
• 13th bonus salary, project bonus
• Merit reviews every year
• Meal allowance
• Annual leave: 14 days/year + 3 days/year Christmas
• Annual health check
• Health insurance
• Other benefits