Machine Learning- AI Engineer
Machine Learning- AI Engineer
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Job Description
Machine Learning- AI Engineer
The ML/GenAI Engineer will be responsible for designing developing and implementing data-driven solutions to support the divisions 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 youll do:
- 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.
- 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.
- Collaboration & Communication:
- Collaborate with IT operations and business teams to identify and prioritize data and AI initiatives.
- 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:
- Bachelors 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.
Whats 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.
Employment Type
Full Time
