Machine Learning/Data Engineer

1 Month ago • 3 Years + • ~ $70,000 PA

Job Summary

Job Description

As a Machine Learning/Data Engineer, you will design internal tools to empower teams to explore, manipulate, and operationalize data. You will build intuitive interfaces and robust pipelines using Python, Streamlit, and Pandas, with a focus on Large Language Models (LLMs) and ML-powered insights. Your responsibilities include developing internal applications utilizing LLMs, designing data transformation pipelines, and collaborating with ML practitioners. You will also build Streamlit-based tools, partner with data science teams, and maintain technical documentation. This role requires strong Python development experience, proficiency with Pandas and SQL, and familiarity with LLMs and Git-based workflows.

Must have:

Strong Python development experience (3+ years)
Proficiency with Pandas and NumPy for data manipulation
Familiarity with SQL and specifically Postgres
Familiarity with LLMs (e.g., OpenAI, Hugging Face) or applied ML pipelines
Git-based workflows and collaborative coding habits

Good to have:

Experience with MLops or serving ML models (e.g., FastAPI, Docker)
Knowledge of data security, bias, and responsible AI practices
Understanding of vector databases or retrieval-augmented generation (RAG)
Previous experience in building data tooling for business users

Perks:

Flexible working time and the possibility to work from home
Permanent full-time contract (38,5 h / week)
A modern office in Innsbruck, in the middle of the Alps
Mobility package (1-year ticket for public transport in Tyrol or a parking space near the office) and free English and German courses

10 skills required

10 skills required for this role

Add these skills to join the top 1% applicants for this job

github

pandas

fastapi

python

docker

sql

git

numpy

data-science

team-management

Job Details

Role Description

As a Machine Learning/Data Engineer (m/f/x) at Innerspace, you strengthen our Data and ML capabilities by designing internal tools that empower teams to explore, manipulate, and operationalize data with efficiency. You will build intuitive interfaces and robust pipelines using Python, Streamlit, and Pandas—with a growing focus on leveraging Large Language Models (LLMs) and ML-powered insights to enhance decision-making. Your work will directly impact how teams across the company work with a critical business related data.

Requirements

Your Must-haves

Strong Python development experience (3+ years)
Proficiency with Pandas and NumPy for data manipulation
Familiarity with SQL and specifically Postgres
Familiarity with LLMs (e.g., OpenAI, Hugging Face) or applied ML pipelines
Git-based workflows and collaborative coding habits

Nice to have

Experience with MLops or serving ML models (e.g., FastAPI, Docker)
Knowledge of data security, bias, and responsible AI practices
Understanding of vector databases or retrieval-augmented generation (RAG)
Previous experience in building data tooling for business users

Responsibilities

ML & Data Engineering

Develop internal applications that expose or utilize LLMs for automation, data summarization, and internal insights
Design data transformation pipelines using Pandas, NumPy, and other ML-prep tools
Collaborate with ML practitioners to implement prototype models and workflows

Tooling & Collaboration

Build Streamlit-based tools to enable non-technical users to interact with models and structured data
Partner with data science and analytics teams to gather requirements and iterate on solutions
Maintain technical documentation and manage version control using Git
Apply modern DevOps practices to streamline deployment, testing, and automation

Conditions and Benefits

A minimum gross salary of 70.000 € per year (overpayment possible)
Flexible working time and the possibility to work from home
Permanent full-time contract (38,5 h / week)
A modern office in Innsbruck, in the middle of the Alps
Starting date as soon as possible
For onsite employees: Mobility package (1-year ticket for public transport in Tyrol or a parking space near the office) and free English and German courses with your team colleagues