Lead AI/ML Engineer

Luxoft; Göteborgs kommun; On-site; SEK 900,000 - 1,200,000; Full time

Job summary

DXC-Luxoft is seeking a senior AI/ML professional to lead architecture and model development within an automotive context. You will work on AI/ML architecture, reconstruction testing, and anomaly detection while mentoring a diverse international team.

The role emphasizes leadership, project delivery, and collaboration across stakeholders to transfer knowledge and shape future autonomous driving solutions.

Qualifications

• Core AI/ML expertise (7+ years)
• Technical competencies (software architecture, data engineering, model validation)
• Leadership, project delivery, autonomous work

Responsibilities

• AI/ML architecture and model development
• Test reconstruction and user journey synthesis
• Anomaly detection and NLP integration
• Team leadership and mentoring
• Stakeholder collaboration and knowledge transfer

Skills

Core AI/ML

Software architecture

Data engineering

Model validation

Leadership

Autonomous work

Education

Master's preferred

Job description

Project description

DXC-Luxoft is an industry-leading software integrator and solution house for automakers and automotive suppliers. There are millions of cars on the road today with solutions designed by DXC-Luxoft. We are working on development of modern and future technologies of Autonomous Drive with the highest demands in safety and reliability.We are happy to receive applications from self-motivated and self-disciplined applicants, who like to work in international teams and projects.For the successful candidate we offer the opportunity to enhance and develop your career with the following benefits:

• Join a highly competent and motivated international team
• Apply your talent into figuring the shape of future car
• Personal growth and promotion opportunities
• Make an impact on the overall growth of DXC-Luxoft

Responsibilities

• AI/ML architecture and model development
• Test reconstruction and user journey synthesis
• Anomaly detection and NLP integration
• Team leadership and mentoring
• Stakeholder collaboration and knowledge transfer

SKILLS

Must have

• Core AI/ML expertise (7+ years)
• Technical competencies (software architecture, data engineering, model validation)
• Professional requirements (leadership, project delivery, autonomous work)

Nice to have

• Educational background (Master's preferred)
• Machine learning specializations (time-series, anomaly detection, deep learning, etc.)
• Data processing at scale
• Software engineering excellence
• Automotive/safety-critical systems experience (preferred)