TL;DR

Data Scientist (AI): Contributing to generative AI initiatives, solving complex problems, and providing advice to decision-makers. Focus on leveraging Large Language Models (LLM) to address complex business challenges and developing AI use cases that contribute real value to the users.

Location: Must be located close to one of %hirify_global%'s Finland offices (Helsinki or Tampere).

Company

%hirify_global% helps organizations unlock new value by combining data, AI, design, and strategy.

What you will do

Lead the design and development of tailored solutions that leverage GenAI, harnessing the power of Large Language Models (LLM) to address complex business challenges.
Work with LLMs, vector embeddings, and retrieval systems to develop a comprehensive GenAI application that leverages advanced natural language processing (NLP) techniques for tasks such as text generation, summarization, question answering, and content recommendation.
Collaborate with cross-functional teams, contributing to the development of AI use cases that contribute real value to the users.
Advise and support stakeholders on applying AI methodologies in their business to enable data-driven decision-making.
Lead and mentor within the AI domain, driving innovation and excellence in the Data Competence.
Support the sales team, leveraging your technical expertise to contribute to customer success and drive project engagements.

Requirements

MSc in Computer Science, Data Science, or a related quantitative field with a strong focus on analytical thinking and problem-solving skills.
Experience in GenAI, machine learning, and software development, with a history of successfully implementing (generative) AI use cases into practical solutions.
Proficiency in programming skills such as Python and other AI-related libraries and frameworks. Hands-on experience working with LLM APIs e.g. GPT or Llama2 and understanding of NLP coupled with LLMs.
Demonstrated ability in AI/ML solution architecture design and experience with data and AI tools on popular cloud platforms such as AWS or Azure.
Possession of relevant certifications in cloud technology or GenAI.
Excellent communication skills in English, capable of explaining complex concepts to non-technical audiences.

Nice to have

Finnish is a nice plus.

Culture & Benefits

A hybrid work model that supports flexibility and collaboration.
Free choice of work gear — laptop, phone, tablet, headphones, and more.
Sports and lunch benefit.
Comprehensive healthcare and additional health insurance.
Learning events and internal communities.
Certification programs to support your continued development.

Hiring process

First conversation to get to know each other and learn more about %hirify_global%.
Skills-based interview to review problem-solving approach and skills.
Role, expectations & projects interview focusing on the potential role, expectations, and upcoming projects.