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Open nowPosted 176 days ago

Senior Data Scientist/AI Engineer - Generative AI

ARNVIND GROUP8 open roles

Where
Stockholm, Sweden
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Your applicationOpen nowSenior Data Scientist/AI Engineer - Generative AIARNVIND GROUP · Stockholm, Sweden

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This job: posted 176 days ago

The posting

Senior Data Scientist/AI Engineer – Generative AI

EXO ARNVIND is collaborating with a pioneering financial technology leader in Sweden to identify their next Senior Data Scientist/AI Engineer specialising in Generative AI. Our client is shaping the future of AI-driven solutions in the financial sector, where cutting-edge technology meets real-world impact. This is a rare chance to join a high-caliber team, work on transformative generative AI projects, and influence how AI is deployed at scale in a regulated, high-stakes environment. If you are passionate about building production-grade AI systems and want to work where innovation meets execution, this role is for you.

The Opportunity

As a Senior Data Scientist/AI Engineer focused on Generative AI, you will play a pivotal role in designing, developing, and deploying AI applications that redefine how AI is leveraged in financial services. You will collaborate with a talented, multidisciplinary team to create robust, scalable, and compliant AI solutions. This position offers the opportunity to work on high-impact projects, mentor colleagues, and establish best practices in generative AI—all while operating in a dynamic, forward-thinking organisation.

Key Responsibilities

  • Design, build, deploy, and monitor production-ready AI applications that deliver measurable business value.
  • Develop and implement evaluation frameworks to ensure the quality, reliability, and performance of AI models.
  • Create and refine tooling, architecture, and best practices for generative AI, setting the standard for the team and organisation.
  • Document AI models, processes, and workflows to meet regulatory and compliance requirements.
  • Identify and prototype innovative generative AI use cases, turning ideas into tangible solutions.
  • Provide guidance, support, and mentorship to teammates, fostering a culture of collaboration and continuous learning.

What You Bring

  • A Master’s degree or PhD in a relevant field such as Computer Science, Data Science, Machine Learning, or Artificial Intelligence.
  • Proven expertise in generative AI, large language models (LLMs), and retrieval-augmented generation (RAG).
  • Strong proficiency in Python and hands-on experience with deep learning frameworks and LLM APIs.
  • Experience designing and implementing agentic systems, structured testing, and model evaluation methodologies.
  • A solid background in machine learning, experimentation, and systems design.
  • Ability to work in a regulated environment, with a focus on compliance, risk management, and documentation.
  • Excellent problem-solving skills and a proactive mindset, with the ability to thrive in a fast-paced, innovative setting.

Nice-to-Haves

  • Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and distributed systems.
  • Familiarity with MLOps practices and tools for model deployment and monitoring.
  • Prior work in the financial services or fintech sector, particularly in areas requiring compliance and risk awareness.

Why Join?

  • Impact: Work on high-visibility projects that shape the future of AI in financial services, with the opportunity to see your work deployed at scale.
  • Growth: Access to career development opportunities, including mentorship, training, and the chance to lead initiatives in generative AI.
  • Team: Collaborate with a diverse, high-performing team of AI engineers, data scientists, and technologists who are passionate about innovation.
  • Culture: Enjoy a hybrid working model that balances flexibility with collaboration, along with a commitment to diversity, inclusion, and work-life balance.
  • Tech Stack: Work with cutting-edge tools and technologies, including generative AI, LLMs, RAG, and agentic systems, in a modern, cloud-enabled environment.

Location

This role is based in Stockholm, Sweden, with a hybrid working arrangement that allows for flexibility between remote and office work.

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