Beskrivning
About the Company
At Avaron, you get the security of permanent employment combined with the variety of working at different customers. We place specialists across everything from tech, IT and industry to project management and business support - and whatever the assignment, you have a consultant manager who is there for you and your development.
About the Role
You will help strengthen a Databricks-based data platform with AI capabilities in a complex industrial environment. This is an end-to-end role where you work across the full ML lifecycle, from data and feature work to model design, deployment, and monitoring. You will also help balance technical choices with cost, operations, and business value. It is a strong opportunity for you if you enjoy combining modern AI engineering with hands-on platform work in Azure and Databricks.
Job DescriptionYou will build, deploy, and maintain production AI/ML solutions.
You will work across the full AI chain, from data and features to models, deployment, and monitoring.
You will design and operate AI functions in Azure and Databricks.
You will develop solutions using RAG architecture, embeddings, prompt engineering, and system prompts.
You will shape agent-based solutions, including tools, routing, memory, and connections between agents.
You will evaluate model choices such as GPT and open models, with a clear focus on cost and performance trade-offs.
You will contribute to architecture decisions across RAG, fine-tuning, and agent-based approaches.
You will help ensure that development, deployment, and runtime cost are aligned with business value.
RequirementsAt least 5 years of experience building, deploying, and maintaining production AI/ML solutions
Ability to contribute to all parts of an AI solution
Experience with Azure AI stack, such as Azure AI Services and Microsoft Foundry
Strong Python skills
Proficiency in ML frameworks such as TensorFlow, PyTorch, MLlib, and Scikit-Learn
Hands-on experience designing and operating functions in Azure and Databricks
Experience with RAG architecture, embeddings, prompt engineering, and system prompts
Experience with agent design, including tools, routing, and memory
Experience in model selection and cost/performance trade-offs
Understanding of AI architecture choices such as RAG, fine-tuning, and agents
Experience with chunking
Experience with copilots
Experience connecting different agents
Nice to haveExperience with RAG systems
Experience with agentic systems and RPA
Experience with PySpark or Apache Spark
Experience with event-driven systems or streaming data
Experience mentoring junior ML and data engineers
What We OfferPermanent employment at Avaron AB
Occupational pension
Wellness allowance of SEK 5,000 per year
Application
Selections are made on an ongoing basis - apply as soon as you can.
At Avaron, you get the security of permanent employment combined with the variety of working at different customers. We place specialists across everything from tech, IT and industry to project management and business support - and whatever the assignment, you have a consultant manager who is there for you and your development.
About the Role
You will help strengthen a Databricks-based data platform with AI capabilities in a complex industrial environment. This is an end-to-end role where you work across the full ML lifecycle, from data and feature work to model design, deployment, and monitoring. You will also help balance technical choices with cost, operations, and business value. It is a strong opportunity for you if you enjoy combining modern AI engineering with hands-on platform work in Azure and Databricks.
Job DescriptionYou will build, deploy, and maintain production AI/ML solutions.
You will work across the full AI chain, from data and features to models, deployment, and monitoring.
You will design and operate AI functions in Azure and Databricks.
You will develop solutions using RAG architecture, embeddings, prompt engineering, and system prompts.
You will shape agent-based solutions, including tools, routing, memory, and connections between agents.
You will evaluate model choices such as GPT and open models, with a clear focus on cost and performance trade-offs.
You will contribute to architecture decisions across RAG, fine-tuning, and agent-based approaches.
You will help ensure that development, deployment, and runtime cost are aligned with business value.
RequirementsAt least 5 years of experience building, deploying, and maintaining production AI/ML solutions
Ability to contribute to all parts of an AI solution
Experience with Azure AI stack, such as Azure AI Services and Microsoft Foundry
Strong Python skills
Proficiency in ML frameworks such as TensorFlow, PyTorch, MLlib, and Scikit-Learn
Hands-on experience designing and operating functions in Azure and Databricks
Experience with RAG architecture, embeddings, prompt engineering, and system prompts
Experience with agent design, including tools, routing, and memory
Experience in model selection and cost/performance trade-offs
Understanding of AI architecture choices such as RAG, fine-tuning, and agents
Experience with chunking
Experience with copilots
Experience connecting different agents
Nice to haveExperience with RAG systems
Experience with agentic systems and RPA
Experience with PySpark or Apache Spark
Experience with event-driven systems or streaming data
Experience mentoring junior ML and data engineers
What We OfferPermanent employment at Avaron AB
Occupational pension
Wellness allowance of SEK 5,000 per year
Application
Selections are made on an ongoing basis - apply as soon as you can.
OM FÖRETAGET
Avaron AB
