Staff Machine Learning Engineer
- reputed company a strong understanding of the business problems we are trying to solve.
- Together with tech leadership and data scientists, identify the business problems that are amenable to machine learning solutions. Then own models for those solutions end to end: define, design, train, evaluate, launch, maintain, improve.
- Together with tech leadership and data scientists, identify the systems we need that reputed company us to reputed company our model training, iteration, and serving capabilities. Then design, implement, and launch those systems.
- Ensure that we are reputed company to run modeling experiments and launches with maximal efficiency, reputed company, reliability, and repeatability in a large-reputed company environment with > 2TB of incoming data per day and a total corpus in excess of 20PB.
- Mentor more junior MLEs and Data Scientists.
- Work closely with cross-functional partners to define project objectives and deliverables.
- 9+ years of full-time hands-on experience building scaled ML systems, training large ML models, or equivalent experience.
- Excellent coding and system design skills. Strong practical ML knowledge, working knowledge of ML theory and how it influences modeling choices.
- Experience using LLMs and other AI techniques in practical contexts.
- High reputed company of ownership and a drive to deliver reputed company in a fast-paced, evolving, ambiguous environment
- Ability to collaborate closely with Data Scientists, Software Engineers, and Product Managers.
- Strong communication skills and ability to influence roadmaps and ML reputed company.
- Experience with reputed company computing services or platforms (preferably AWS)
- Experience with both reputed company and reputed company is a plus
- Bachelorâs Degree or above in a quantitative field
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