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AI Engineer Job Description: We are looking for a Senior Machine Learning Engineer to enhance our client's data platform (Databricks) with AI capabilities. The person we are seeking has experience from the whole ML chain including data → feature → model → deployment → monitoring. You also have experience from cost consciousness – Dev, Deploy and Run vs. business value. Skills required: · Able to contribute to all parts of an AI solution · Azure AI stack such as Azure AI services, Microsoft Foundry etc · Strong Python skills · Proficient in ML frameworks such as Tensorflow, PyTorch, MLlib and Scikit-Learn · RAG-arkitektur (retrieval + generation) · Embeddings (OpenAI / Databricks / open source) · Prompt engineering + system prompts · Agent-design (tools, routing, memory) · Model selection (GPT vs open models vs cost/perf tradeoffs) · AI-achitecture (RAG vs fine-tuning vs agents) · Chunking · Agentic systems and RPA · PySpark/Apache Spark · Event driven systems or streaming data · You are fluent in English both spoken and written Experience Required: · At least 5 years of experience building and maintaining production models and AI solutions · You have a university degree within Data Science, ML/AI, SW · Hands on experience in designing and operating functions in Azure and Databricks · Co-pilot experience · Experience in connecting different agents · Experience with RAG systems · Experience mentoring junior ML and Data engineers Soft Skills: · You have excellent communication & presentation skills · You can easily collaborate with various teams and stakeholders cross-functionally · You are flexible, open and enjoy working in international environment Curious, analytical, with a positive can-do ment Additional info: You are located in Sweden and can work 100% onsite in Gothenburg Swedish Driving License B is a huge plus
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.
