Hybrid Software & Data Scientist: AI/ML & Predictive Analytics

Saab

Linköpings kommun

Hybrid

SEK 700,000 - 1,000,000

Full time

14 days+
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Job summary

Saab is seeking a versatile Software Developer and Data Scientist to bridge software engineering and data science, hybrid in Sweden. You will build Python-based backends, craft AI/ML models, and manage ETL with Airflow to extract insights from aircraft operation data.

Expect scalable solutions and modern dashboards powered by Plotly. You will design RESTful APIs with FastAPI/Flask, use Docker/Kubernetes for deployment, and contribute to predictive maintenance and demand forecasting across

Qualifications

  • Degree in Computer Science, Data Engineering, or a related technical field.
  • Proven experience with Python including Pandas, NumPy, PyTorch, TensorFlow / Keras and related packages.
  • Experience with data warehousing and data reliability/observability tools.
  • Knowledge in AI/ML engineering, anomaly detection, and deployment of LLM-based systems.
  • Experience in designing RESTful APIs and backend services using FastAPI, Flask, or similar.
  • Familiarity with Git, Docker, Kubernetes, and workflow orchestration (Airflow).

Responsibilities

  • Design, develop, and maintain scalable backend services and APIs using Python.
  • Implement advanced AI/ML models including LLM orchestration and prompt engineering.
  • Build end-to-end ETL pipelines and manage both batch and real-time data flows with Airflow.
  • Model equipment behavior and degradation for predictive maintenance and demand forecasting.
  • Create dashboards and visualizations using Plotly for clear data insights.
  • Manage containerized workloads with Docker/Kubernetes and uphold CI/CD pipelines.

Skills

Python
Pandas
NumPy
PyTorch
TensorFlow
Keras
RESTful APIs
FastAPI
Flask
Airflow
Data Warehousing
Data Observability
Docker
Kubernetes
Git
AI/ML Eng
LLM Orchestration
Prompt Engineering
Plotly
API Design

Education

Bachelor's degree in Computer Science or Data Engineering

Tools

Docker
Kubernetes
Airflow
Git
Plotly

Job description

Saab is seeking a versatile Software Developer and Data Scientist to bridge software engineering and data science, hybrid in Sweden. You will build Python-based backends, craft AI/ML models, and manage ETL with Airflow to extract insights from aircraft operation data.

Expect scalable solutions and modern dashboards powered by Plotly. You will design RESTful APIs with FastAPI/Flask, use Docker/Kubernetes for deployment, and contribute to predictive maintenance and demand forecasting across

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