Senior Machine Learning Engineer
hace 1 semana
We are seeking a highly skilled Senior Machine Learning Engineer to join our team at EcoVadis. As a key member of our AI Center of Excellence, you will be responsible for developing and implementing machine learning solutions to drive innovation across the organization.
Key Responsibilities:- Leverage data to solve complex business problems and drive business value
- Design, develop, and maintain scalable machine learning systems
- Run large-scale experiments and tests to ensure quality and efficiency of machine learning pipelines
- Ensure machine learning lifecycle monitoring by applying best practices in MLOps and green IT
- Support large-scale data preparation and pre-labeling
- Engage in building machine learning engineering infrastructure and systems to orchestrate batch and streaming pipelines
- Partner with scientists and engineers to make machine learning models accessible to end-users and downstream processes
- Build and enhance feature stores
- Leverage Python, MLflow, Azure stack, and Databricks to deliver end-to-end solutions
- M.S. Degree in Computer Science, Mathematics, Engineering, or a related technical discipline
- Demonstrable experience in designing machine learning systems and integrating those into business applications, and model monitoring at scale
- Excellent knowledge of Python, other languages are a plus
- Experience with web crawling and related frameworks like Scrapy, BeautifulSoup, and LXML is a plus
- Deep knowledge of machine learning lifecycle, principles, and tooling
- Experience in cloud technology, preferably Azure and its ecosystem, and Databricks
- Solid understanding of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations
- Experience in Linux OS and scripting
- Knowledge of data management fundamentals and data storage principles
- Experience of cross-functional collaboration in the development of machine learning products and services is a plus
- Familiarity with non-relational databases
- Competitive salary and benefits package
- Opportunity to work with a dynamic and international team
- Flexible working hours and remote work options
- Home office allowance program
- IT equipment allowance
- 90 days working from anywhere policy
- Meals and transportation vouchers
- Health, wellness, and dental benefits
- Unlimited and confidential sessions with psychologists and online well-being programs
- Employee referral bonus policy
- Paid employee volunteer day
- Paid moving day
- Access to online learning library
- Virtual and in-person team building events
- Co-working space with various services and opportunity to work in different locations
We are an equal opportunities employer and welcome applications from diverse candidates. If you need any adjustments during the hiring process, please let us know.
We are committed to reducing bias in our hiring processes and ensuring that everyone has an equal opportunity to demonstrate their skills and potential.
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