Arbetsbeskrivning

Veritaz is a leading IT staffing solutions provider in Sweden, committed to advancing individual careers and aiding employers in securing the perfect talent fit. With a proven track record of successful partnerships with top companies, we have rapidly grown our presence in the USA, Europe, and Sweden as a dependable and trusted resource within the IT industry.

Assignment Description:

We are looking for a Senior Data Scientist to join our dynamic team.

What you will work on:

• Design, develop, and optimize scalable AI/ML solutions on Google Cloud Platform (GCP), leveraging tools such as Vertex AI, BigQuery, Dataflow, Cloud Functions, and Cloud Run.
• Build, debug, and maintain machine learning pipelines in Python.
• Set up and manage efficient development environments (e.g., Jupyter Notebooks) to support experimentation and model development.
• Apply best practices in Responsible AI, including model monitoring, governance, fairness, and explainability.
• Collaborate with cross-functional teams, sharing knowledge and guiding architecture choices for scalable AI setups.
• Contribute to visualization, reporting, and knowledge transfer to ensure alignment with business and technical goals.

What you bring:

• Proven experience with Google Cloud Platform and its AI/ML ecosystem (Vertex AI, BigQuery, Dataflow, Cloud Functions, Cloud Run).
• Strong Python programming skills with hands-on experience in ML pipeline development.
• Deep practical knowledge of:
• ML frameworks: scikit-learn, TensorFlow, PyTorch, Keras
• LLMs & Generative AI: Gemini, LangChain, Hugging Face
• Data processing & visualization: Pandas, NumPy, Matplotlib, Seaborn
• Version control & collaboration: Git, GitHub/GitLab, CI/CD workflows
• Excellent communication skills with the ability to explain complex technical concepts clearly.
• Strong analytical and problem-solving skills with the ability to work independently.
• Team-oriented mindset: proactive, supportive, and ownership-driven.

Nice to have:

• Experience with MLOps principles and tools.
• Familiarity with Microsoft Power Platform.
• Exposure to DevOps practices and infrastructure-as-code.