Senior Staff Machine Learning Scientist

hace 2 semanas

Barcelona, España Ecovadis A tiempo completo

Job Description We are looking for a highly motivated Senior Staff Machine Learning Scientist (NLP) to join our growing AI Center of Excellence team, responsible for using machine learning and natural language processing to drive innovation across the organization and accelerate positive impact on our planet and society.
You will be part of the team of 20+ scientists and engineers delivering solutions for our product portfolio and enhancing operational excellence.
Your global responsibilities will include (but will not be limited to): Innovating by adapting new machine learning algorithms and recent advances in generative AI Promoting best practices in machine learning and mentoring junior team members Leading functional teams and projects to accelerate the adoption of technology and AI within the organization Building, benchmarking, and maintaining machine learning models and identifying data annotation efforts Leveraging Python, MLflow,  Azure stack (e.g., Azure cloud, Azure ML, Azure Data Factory) and Databricks to deliver end-to-end solutions Staying in close contact with customers to evaluate their needs and recommend solutions that increase customer satisfaction and drive business value Staying on top of technology trends in the area of, but not limited to, AI and apply this knowledge to the key challenges ahead of EcoVadis Qualifications Education and experience PhD degree in quantitative discipline (e.g., Statistics/Applied Math, Artificial Intelligence, Computer Science, Data Science)  10+ years of overall experience in machine learning and NLP Experience in leading end-to-end NLP projects, from design to implementation to integration, and applying best software development practices Expert knowledge of machine learning from forecasting to architectures used in NLP, such as transformers and RNN models, conversational AI and NLP (e.g., question answering, information retrieval, machine translation) with a proven track record in industry and academia Advanced knowledge of ML frameworks and libraries (e.g., TensorFlow, PyTorch) Excellent mentoring skills and accountability for high quality and timely delivery of the initiatives they lead Experience in publishing at top-tier NLP conferences (e.g., ACL, EMNLP) and contribution to open source software development is considered a plus Experience of cross-functional collaboration in the development of AI-powered products and services (e.g., Engineers, Product Managers) is a plus Skills, abilities and work standards: Continuous Learner – Ability to continually develop and improve one's skill and knowledge to perform effectively and adapt to change in the workplace.
Development occurs through a variety of learning opportunities, seeking feedback, and individual reflection.  Personally Effective - Making use of all of the personal resources at your disposal (talents, skills, energy, and time) to achieve goals.  Authentic - Being honest and authentic in communication, feedback and strategy.
Results-driven - Setting high goals for themselves and others.
They accomplish their goals by effectively working through challenges and demonstrate commitment to the company's goals.  Creative Problem Solver - Focused on improving their practices and results.
They are open to new ideas and they maximize available resources.  Collaborator & Partner - Works effectively with others to achieve shared goals through cooperation, sharing knowledge, joint problem-solving, and celebrating success.  Additional Information Location: Barcelona or Remote from Spain Contract: Permanent Start date: ASAP Our growing team in Spain is full of talented professionals from various fields who all share a desire to make sustainability real.
We offer competitive salaries and support personal growth from day one.
This includes extensive onboarding, teammates' support and a brand new e-learning platform bursting with courses and modules.
So you can learn new skills and fine-tune old ones
In return for your expertise and energy, we offer: Working organization benefits: Casual and very friendly work environment Hybrid work organization (from the office or from home) Flexible working hours Home office allowance program IT equipment allowance Working from anywhere policy Opportunity to work in a truly international atmosphere Compensation benefits: Base salary + variable compensation plan GRSP and TFSA matching program available Meals and Transportation Vouchers (Cobee card) Wellness and Healthcare benefits: Health, Wellness, and Dental Benefits More: Employee referral bonus policy Paid employee volunteer day Paid moving day ( 1/year) Access to online learning library Virtual and in-person team building events Co working space with various services + opportunity to work in different locations (Europe and International)   Our hiring team looks forward to reviewing your CV and cover letter with a guaranteed response to every application.
A new job with purpose awaits you
Don't fit all the criteria but still think you'd be a good candidate?
 Please apply anyway to give our hiring team the opportunity to assess your skills and to learn more about what you could bring to EcoVadis.
We're interested in hiring capable people, regardless of professional and educational background.
Can the hiring process be adjusted to suit my needs?  Yes.
We want everyone going through the hiring process with EcoVadis to feel confident that you are able to demonstrate your full potential.
We welcome applications from disabled people, people with long-term health conditions, and neurodiverse candidates.
If you need any adjustments, including the provision of interview questions, please let the hiring team know.
Our team's strength comes from everyone's uniqueness and is founded upon mutual respect.
 EcoVadis commits to equity, inclusion and reducing bias in our hiring processes.
EcoVadis does not accept any form of discrimination based on color, national or ethnic origin, ancestry, citizenship, religion, beliefs, age, sex, gender identity, sexual orientation, neurodiversity, disability, parental status, or any other protected characteristic that makes you unique.
In your application, we encourage you to remove personal information such as: photographs, marital status, number of children, religion, gender, residential postal code, university graduation date, past medical or parental leave(s) taken, nationality (instead, please state if you are legally eligible to work in the job region/country), university name (instead, please state any degrees obtained and the study major).

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