What you need to know about the role
Job Description:
- Strong critical-thinkingand problem-solving skillsand ability to address complex technical and non-technical challenges.
- Able to influence at all levels of the organization and across multiple functional teams.
- Kept up-to-date with State-Of-The-Art (SOTA) advancements in Artificial Intelligence and understand how they can be applied to solve business challenges.
Your day to day
- Design and develop highly scalable and efficient platform that enables data scientists to build, deploy,and monitor machinelearning solutionsend-to-end.
- Ensure high code quality, performance, and reliability through rigorous testing, code reviews, and adherence to software development bestpractices.
- Drive innovation by researching andincorporating state-of-the-art machinelearning techniques, tools, and frameworks into theplatform.
- Effective communication, listening, interpersonal, influencing, and alignment driving skills; able to convey important messages in a clear and compelling manner.
- Mentor teammembers, provide technicalguidance, and foster a culture of collaboration, innovation, and continuouslearning.
- Explore state-of-the-art deep learning techniques and Partner with data science and domain engineering teams to support the business transformation through AI.
- Develop trusted partnership with business, product, data scientists and architecture leaders to drive optimized platform product delivery
What do you need to bring
- 4+ year experience for PhD; 6+ year experience Machine Learning Engineer/Scientist or similar role for MS.
- Masters, PhD, or equivalent experience in a quantitative field (Computer Science, Mathematics, Engineering, Artificial Intelligence, etc.)
- Experience with end-to-end machine learning project lifecycle, from conception to production.
- Passionate to learn the state-of-the-art machine learning framework and algorithms in academia and industry.
- Proven experience in employing mathematical, statistical, and machine learning methods on real-world problems
- Proficient in data mining and familiar with SQL, BigQuery, Python, etc.
- Proficient in deep learning frameworks (e.g., TensorFlow, PyTorch, Keras).
- Knowledge of specialized areas such as NLP or computer vision.
- Exceptional written and verbal communication skills in English, capable of influencing cross-functional teams.
- Industry experience in compliance and privacy domains is a plus.
- Experience working in a multinational company is a plus.
- Familiarity with Large Language Models (LLMs) is a plus.
- Publications in prominent journals or conferences in the field of AI or successful AI/ML-related patent applications are pluses.
Our Benefits:
Any general requests for consideration of your skills, please