Data Scientist (AI/ML Engineer)

Roles: Data Scientist (AI/ML Engineer)

Location: Poland, Remote

Is it Permanent/ Contract: open for both

Is it Onsite/Remote/Hybrid: Remote

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.