Staff Machine Learning Scientist
hace 2 semanas
We are seeking a highly motivated and experienced Staff Machine Learning Scientist to join our growing AI Center of Excellence team at Ecovadis Germany GmbH. As a key member of our team, you will be responsible for driving innovation across the organization and accelerating positive impact on our planet and society.
Key Responsibilities- Work with large, complex data sets to solve challenging business problems by applying advanced analytical methods as needed.
- Articulate and translate business questions into technical solutions.
- Build, benchmark, and maintain machine learning models and identify data annotation efforts.
- Innovate by adapting new machine learning algorithms and recent advances in generative AI.
- Promote best practices in machine learning and mentor junior team members.
- Lead functional teams and projects to accelerate the adoption of technology and AI within the organization.
- Leverage Python, MLflow, Azure stack, and Databricks to deliver end-to-end solutions.
- Stay in close contact with customers to evaluate their needs and recommend solutions that increase customer satisfaction and drive business value.
- Stay on top of technology trends in the area of AI and apply this knowledge to the key challenges ahead of Ecovadis.
- 8+ years of overall experience in machine learning and NLP.
- Expert knowledge of machine learning from forecasting to architectures used in NLP, such as transformers and RNN models, and NLP tasks (e.g., named entity recognition, entity linking, question answering, semantic search).
- Advanced knowledge of ML frameworks and libraries (e.g., TensorFlow, PyTorch).
- Experience in leading end-to-end NLP projects, from design to implementation to integration, and applying best software development practices.
- Excellent mentoring skills and accountability for high-quality and timely delivery of the initiatives they lead.
- Experience of cross-functional collaboration in the development of AI-powered products and services (e.g., Engineers, Product Managers) is a plus.
- Competitive salaries and support for personal growth from day one.
- Extensive onboarding, teammates' support, and a brand new e-learning platform bursting with courses and modules.
- Casual and very friendly work environment.
- Hybrid work organization (from the office or from home).
- Home office allowance program.
- Working from anywhere policy.
- Opportunity to work in a truly international atmosphere.
- Base salary + variable compensation plan.
- GRSP and TFSA matching program available.
- Meals and Transportation Vouchers (Cobee card).
- Wellness and Healthcare benefits.
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