Publicado hace 84 días
$158,000 MXN/mes brutos
*Salario especifico depende del proceso de selección
What you’ll be doing Own machine learning and deep learning systems, platforms, and tools at scale Translate machine learning and deep learning solutions into scalable production implementations Build tools and platforms at scale to improve performance, increase velocity, or optimize workloads Identify significant new roadmap opportunities and influence roadmap prioritization Apply specialized domain knowledge to identify opportunities and influence prioritization of improvements to existing model architectures, methods and approaches Collaborate with cross-functional partners and team to identify opportunities to improve our platform Provide hands-on technical guidance and mentorship for team members Autonomously lead planning and execution for complex problem spaces and major cross-team initiatives Work directly with partner teams and stakeholders to own projects which address related problems, and help set technical direction for projects owned by others Work autonomously, relentlessly prioritize, and collaborate with team members across time zones Advocate for technical quality and engineering best practices
What you’ll have
6+ years of hands-on Data Science or ML Engineering experience (4+ if you have a PhD)
4+ years of hands-on experience in one of the following technical domains: machine learning, recommendation systems, pattern recognition, NLP, artificial intelligence, or a related technical field
Proficiency with 1+ programming language(s) (e.g. Python)
Ability to communicate effectively with both technical and non-technical stakeholders
Python