Roles: Data Scientist (AI/ML Engineer)
Location: Poland, Remote
Is it Permanent/ Contract: open for both
Salary Budget: best reasonable market rate
Job Description: AI Engineer
Key Responsibilities:
Data Preparation and Analysis:
- Conduct Exploratory Data Analysis on various datasets to extract meaningful insights.
- Preprocess and prepare data for AI solutions, including leveraging vector databases for efficient data retrieval and management.
Solution Development and Maintenance:
- Develop and deploy agentic AI solutions, ensuring performance and scalability.
- Debug AI pipelines and processes to resolve issues efficiently.
- Understand and explain the mechanics and functionality of agentic solutions to stakeholders.
Programming and Infrastructure:
- Write high-quality, maintainable Python or C# code following best practices.
- Develop unit tests to ensure code reliability.
- Maintain and optimize infrastructure using Docker for containerization.
Collaboration and Communication:
- Conduct code reviews to maintain quality across the team.
- Analyze business feedback to refine AI solutions and processes.
- Write and optimize prompts for large language models (LLMs) to support various applications.
Qualifications
Must-Have Skills:
- Strong proficiency in Python and familiarity with best programming practices.
- Hands-on experience with PyTest for writing unit tests.
- Competence in developing and maintaining agentic AI solutions.
- Understanding of NoSQL and vector database operations.
- Familiarity with large language models (LLMs) and NLP techniques.
Technical Knowledge:
- In-depth understanding of the inner workings and characteristics of AI solutions.
- Foundation in statistics and mathematics underpinning AI models.
- Strong experience with EDA and data preparation techniques for AI consumption.
Core Competencies:
- Ability to independently understand, analyze, and solve complex problems in a structured manner.
- Creative thinking to design working solutions.
- Organizational skills to manage tasks and deliverables effectively.
- Clear and professional communication skills for collaboration with team members and stakeholders.
Technology Stack
Programming: Python
- Testing Frameworks: PyTest
- Infrastructure: Docker
- Data Management: SQL, Vector Databases
- Agentic AI Solutions: Familiarity with advanced AI models and agentic frameworks
Ideal Candidate Traits
- Proactive: Takes initiative and demonstrates ownership of tasks and challenges.
- Curious: Passionate about continuous learning and staying updated on the latest AI developments.
- Creative: Excels at generating new ideas and finding non-standard solutions to problems.
- Comfortable with Ambiguity: Thrives in uncertain environments and can adapt to changing requirements.
- Learning on the Job: Eager to learn new technologies and methodologies as needed.
Apply Now