Data & Applied Scientist II

Microsoft

Microsoft, a global leader in technology, is focusing on enhancing language solutions to better serve its diverse customer base. The 'Magic' team, part of Customer Success Engineering, is integral in advancing localization platforms, enabling products for international markets swiftly. This role supports Microsoft's vision by empowering partners, enhancing the user experience worldwide, and maintaining a collaborative and inclusive team environment.

In this role you can expect to have the responsibilities:

• Design and deliver scalable machine learning solutions to enhance localization quality.
• Collaborate with various disciplines to produce production-ready solutions.
• Utilize Azure services to advance the MLOps practice and develop customized modules.
• Support and manage machine learning models, production pipelines, and experimentation platforms.

This role comes with the following benefits:

• Working within a diverse and inclusive environment.
• Opportunity to contribute to global user satisfaction through cutting-edge technology.

This role requires you to have:

• Bachelor's, Master's, or Doctorate in relevant fields or equivalent experience.
• Proficiency in developing Machine Learning/Deep Learning solutions, especially NLP.
• Expertise in ML frameworks like Scikit-learn, PyTorch, TensorFlow, Azure ML, and OpenAI.

You would benefit from having:

• Experience in creating publications in ML or AI.
• Knowledge of recent NLP and ML advancements.
• Experience with Machine Translation or language-related tasks.
• Proficiency in experimental design and evaluation.
• Technical problem-solving experience and stakeholder collaboration.

Microsoft is committed to equal opportunity employment and adheres to applicable laws regarding non-discrimination. Successful candidates will undergo specialized security screenings and Microsoft Cloud Background Checks. Microsoft accommodates applicants with disabilities and offers assistance upon request.