Machine Learning- AI Engineer

The ML/GenAI Engineer will be responsible for designing, developing, and implementing data-driven solutions to support the division's strategic objectives. This role involves working closely with cross-functional teams to leverage data and AI technologies to drive innovation, improve operational efficiency, and enhance decision-making processes (engineering, manufacturing, business).

What you’ll do:

1. Data Engineering:
   • Design, develop, and maintain scalable data pipelines and ETL processes to ensure the availability and quality of data for analysis and reporting in Microsoft Azure.
   • Build GenAI services in Azure
   • Programming skills in Python and SQL
   • Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet their needs.
   • Implement data governance and data quality best practices to ensure the integrity and security of data assets.
2. AI & Machine Learning:
   • Develop and deploy machine learning models and AI solutions to address business challenges and opportunities.
   • Work with data scientists to experiment with and implement advanced analytics techniques
   • Monitor and evaluate the performance of AI models and continuously improve their accuracy and efficiency.
3. Collaboration & Communication:
   • Collaborate with IT, operations, and business teams to identify and prioritize data and AI initiatives.
4. Innovation & Continuous Improvement:
   • Stay up-to-date with the latest trends and advancements in data engineering, AI, and machine learning.
   • Identify opportunities for process improvements and automation using data and AI technologies.
   • Contribute to the development of best practices and standards for data and AI engineering within the division.

What is required:

• Bachelor’s in Computer Science, Data Science, Engineering, or a related field
• 2-5 years of proven experience in data engineering, machine learning, and AI development.
• Proficiency in programming languages: Python.
• Experience with cloud platforms (Azure).
• Strong understanding of database systems, data warehousing, and ETL processes.
• English and Spanish language fluency is required

What’s in it for you:

•Attractive compensation package

•Flexible Options (schedule, remote work)

•Recognition awards, company events, family events, university discount options and many more perks.

•Gender Pay Equality

Autoliv is proud to be an equal opportunity employer. Autoliv does not discriminate in any aspect of employment based on race, color, religion, national origin, ancestry, gender, sexual orientation, gender identify and/or expression, age, disability, or any other characteristic protected by federal, state, or local employment discrimination laws where Autoliv does business.