Senior AI Engineer

Swediumglobal; Göteborgs kommun; On-site; SEK 654,093 - 872,124; Full time

Job summary

Swediumglobal is hiring for a senior ML Engineer in Gothenburg, Sweden. The role involves enhancing their data platform with AI capabilities and requires experience across the entire ML chain from data to deployment.

The ideal candidate will have at least 5 years of experience in building and maintaining production models and AI solutions, and be proficient in ML frameworks like TensorFlow and PyTorch. Responsibilities include monitoring and focusing on business value amid development and deployment.

Qualifications

• At least 5 years of experience building and maintaining production models and AI solutions.
• Able to contribute to all parts of an AI solution.
• Hands-on experience in designing and operating functions in Azure and Databricks.

Responsibilities

• Enhancing data platform with AI capabilities.
• Experience from the whole ML chain including data, feature, model, deployment, monitoring.
• Focus on cost consciousness – Dev, Deploy and Run vs. business value.

Skills

Building and maintaining production models

AI solutions

Proficient in ML frameworks

Experience in Azure and Databricks

Tools

TensorFlow

PyTorch

MLlib

Scikit-Learn

Job description

Swedium Global is hiring for senior ML Engineer.

Location - Gothenburg

Our client is enhancing their data platform (Databricks) with AI capabilities and are looking for a senior ML Engineer. The person they are seeking has experience from the whole ML chain including data → feature → model → deployment → monitoring.

The person does also have experience from cost consciousness – Dev, Deploy and Run vs. business value.

Skill requirements

• At least 5 years of experience building and maintaining production models and AI solutions
• Able to contribute to all parts of an AI solution
• Proficient in ML frameworks such as Tensorflow, PyTorch, MLlib and Scikit-Learn
• Hands on experience in designing and operating functions in Azure and Databricks
• Embeddings (OpenAI / Databricks / open source)
• Agent-design (tools, routing, memory)
• Chunking

Nice to have:

• Experience with RAG systems
• Agentic systems and RPA
• Event driven systems or streaming data
• Experience mentoring junior ML and Data engineers