Autoliv
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Bengaluru · On-site · 6-9 Yrs · Sep 28
Transportation Equipment Manufacturing · 10000+ Employees · Stockholm, Sweden
Autoliv Inc., the worldwide leader in automotive safety systems, develops and manufactures automotive safety systems for all major automotive manufacturers in the world. Together with its joint ventures, Autoliv has more than 80 facilities with more than 60,000 employees in 27 countries. In addition, the Company has 20 technical centers in nine countries around the world, with 20 test tracks, more than any other automotive safety supplier. Autoliv develops, manufactures and markets airbags, seatbelts, steering wheels, passive safety electronics and active safety systems such as radar, night vision and camera vision systems. We also produce anti-whiplash systems, pedestrian protection systems and child seats. For over 60 years, Autoliv has focused on one very important issue: saving lives. Our innovative products save 30,000 lives every year and prevent 10 times as many injuries.
Hiring: Engineering
What employees say
+ Over all good company to work
− No such negatives to high light
More reviews on the company profile.
Interview experience · Intern
The interview was easy they ask you what have you done in your projects and ask basic technical questions related to SOM , thermodynamics, fluid dynamics , also they as about what are your strength and weaknesses
Easy difficulty · Pune · 31 reports
More interview insightsJob description
Overview
Autoliv's primary goal is to Save More Lives.
Responsibilities
- Partnering with business stakeholders to identify and prioritize high-value AI and Machine Learning opportunities.
- Translating complex business challenges into practical data science and AI solutions.
- Designing, developing, validating, and deploying machine learning models for business-critical applications.
- Building scalable AI solutions that integrate seamlessly with enterprise applications and workflows.
- Developing predictive, prescriptive, and optimization models to improve operational performance.
- Creating data-driven solutions for quality improvement, predictive maintenance, supply chain optimization, forecasting, and manufacturing analytics.
- Building reusable machine learning assets, frameworks, pipelines, and model components.
- Working with structured and unstructured datasets to develop robust analytical solutions.
- Deploying machine learning models using modern MLOps practices and cloud-based platforms.
- Integrating AI solutions through APIs, enterprise systems, dashboards, and business applications.
- Monitoring model performance, accuracy, drift, and business impact throughout the model lifecycle.
- Collaborating with Data Engineering teams to strengthen data pipelines and improve data quality.
- Partnering with IT, Cloud, Infrastructure, and Cybersecurity teams to ensure scalable, secure deployments.
- Creating visualizations and presenting findings in a clear and business-friendly manner.
- Promoting adoption of AI solutions by building trust, transparency, and stakeholder engagement.
- Driving continuous improvement of models, algorithms, and AI platforms.
- Contributing to enterprise AI standards, best practices, and data science governance.
- Supporting innovation initiatives by investigating emerging AI, ML, and Generative AI technologies.
- Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Engineering, Mathematics, or a related field.
- 6+ years of professional experience in Data Science, Machine Learning, Artificial Intelligence, or Advanced Analytics.
- Strong knowledge of Machine Learning algorithms including regression, classification, clustering, anomaly detection, and time-series forecasting.
Qualifications
- Advanced programming skills in Python and hands-on experience with libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, and PyTorch.
- Strong SQL skills and experience working with large-scale datasets.
- Knowledge of data engineering concepts, ETL pipelines, and data integration processes.
- Hands-on experience with MLOps tools and practices including MLflow, Docker, Kubernetes, CI/CD pipelines, model monitoring, and lifecycle management.
- Exposure to cloud platforms such as Microsoft Azure and AI-related cloud services.
- Strong analytical thinking and the ability to solve ambiguous business problems.
- Excellent communication skills with the ability to explain technical concepts to non-technical audiences.
- Business-First Mindset
- Analytical and Data-Driven Thinking
- Problem Structuring and Critical Thinking
- Machine Learning and Data Science Expertise
- Innovation and Continuous Learning
- Ownership and Accountability
- Collaboration and Stakeholder Management
- AI Solution Architecture
- Model Deployment and MLOps Excellence
- Influencing and Communication Skills
- Customer and User Focus
- Scalability and Platform Thinking
- Decision-Making Capability
- Results Orientation
- Adaptability and Agility
- Microsoft Certified: Azure AI Engineer Associate.
- Microsoft Azure Data Science or Machine Learning Certifications.
- Professional Certifications in Artificial Intelligence, Data Science, or Machine Learning.
- Certifications or practical exposure to MLOps frameworks such as MLflow or Kubeflow.
- Participation in AI competitions, open-source projects, research initiatives, or advanced AI programs is highly valued.
- Successfully delivers AI and Machine Learning solutions that create measurable business impact.
- Drives projects from concept and problem definition through deployment and business adoption.
- Develops scalable and reusable solutions rather than isolated proof-of-concept models.
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Job application FAQ
Last updated 5 October 2026
- How do I apply for AI/ML Developer (Data Scientist) at Autoliv?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Autoliv may attach structured assessments to interview rounds after you apply.
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- Is AI/ML Developer (Data Scientist) remote or on-site in Bengaluru, Karnataka?
- This listing is marked on_site with location Bengaluru, Karnataka. Confirm details on the job description before applying.
- What skills matter for this AI/ML Developer (Data Scientist) role at Autoliv?
- This is a mid-level AI/ML Developer (Data Scientist) role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.