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Job details

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