Data Scientist (AI/ML Engineer)

Roles: Data Scientist (AI/ML Engineer)Location: Poland, RemoteIs it Permanent/ Contract: open for bothSalary Budget: best reasonable market rate Job Description: AI EngineerKey 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.QualificationsMust-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 StackProgramming: PythonTesting Frameworks: PyTestInfrastructure: DockerData Management: SQL, Vector DatabasesAgentic AI Solutions: Familiarity with advanced AI models and agentic frameworks Ideal Candidate TraitsProactive: 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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