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

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Role Overview

In this role, you will contribute to the development, deployment, and maintenance of AI solutions, ensuring robust and scalable implementations. You will work closely with cross-functional teams to analyze data, implement AI solutions, and deliver actionable insights that drive business value.

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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.

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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.

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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

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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.
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