Data Engineer - AI/ML focused at Pyyne Digital

Stockholm, , Sweden -

Full Time

Start Date

Immediate

Expiry Date

19 Jul, 26

Salary

0.0

Posted On

20 Apr, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, PyTorch, TensorFlow, Scikit-learn, LangChain, HuggingFace Transformers, PySpark, Kafka, Delta Lake, Snowflake, Dbt, Pandas, Docker, Kubernetes, MLflow

Industry

Information Technology & Services

Description

Let's build Pyyne together! Are you excited by the idea of working on cutting-edge technology while shaping the direction of the company you’re part of? At Pyyne, you’ll do both. We're looking for a motivated colleague to join our consultant team who wants to take ownership of their projects and play an active role in building an international, people-first tech consultancy. What impact will you have: As a Data & AI Consultant at Pyyne, you aren't just building models; you’re pioneering the intelligence behind the industries that matter. You’ll partner with leaders across AI for Legal, Green Energy, and MedTech to solve complex challenges and deliver disruptive solutions that reshape the landscape of Retail and Music Streaming You aren't just here to write scripts; you're here to shape how businesses think. You’ll have a voice in strategy, architecture, and the ethical implementation of AI. At Pyyne, you are the architect of your career. You can choose to dive deep into: Generative AI & LLMs: Moving beyond the hype to build production-ready RAG systems and fine-tuned models. Data Engineering: Building the robust, scalable pipelines that make AI possible. Machine Learning Ops (MLOps): Bridging the gap between a notebook and a reliable, scalable service. Advanced Analytics: Finding the "why" behind the data to drive global business decisions. About You: We’re looking for a specialist who understands that the best algorithms are built by collaborative teams. 📊 Analytical & Evidence-Based – You don’t just follow trends; you look at the data. You enjoy the "eureka" moment when a model finally converges. 🌟 Curious & Energetic – The AI field moves fast. You’re excited to experiment with the latest paper or framework to see if it actually delivers value. 🤝 People-Oriented – You can translate "Black Box" models into clear insights for stakeholders and enjoy mentoring others in data best practices. 🎯 Driven & Proactive – You don’t wait for a clean dataset (we know they don’t exist). You take the initiative to build the processes that make data useful. 🗣️ Communicative – You’re confident explaining the why behind your technical choices, keeping both tech and business teams in the loop. Your Technical Toolkit: Core Languages: You are an expert in Python and have strong experience with SQL. Machine Learning & AI: You have hands-on experience with frameworks like PyTorch, TensorFlow, or Scikit-learn. You are also familiar with the modern AI stack, including LangChain and HuggingFace Transformers. Data Engineering: You are comfortable building and managing pipelines using Spark (PySpark), Kafka, Delta Lake, Snowflake, or dbt. Libraries & Analytics: You use Pandas, NumPy, and/or Dask for data manipulation and are proficient with visualization tools to communicate findings. Cloud & Infrastructure: You have experience deploying models in AWS, Azure, or GCP using Docker and Kubernetes. MLOps: You understand the importance of the model lifecycle and have worked with tools like MLflow, Kubeflow, or BentoML. Minimum Qualifications: MSc or BSc in Computer Science, Mathematics, Data Science, or Engineering. Languages: English (Must), Swedish (Must).

Responsibilities

You will design and implement robust data pipelines and AI models to solve complex challenges for clients in industries like Legal, Green Energy, and MedTech. You will also play an active role in shaping company strategy, architecture, and the ethical implementation of AI solutions.