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Artificial Intelligence Product Manager (Engineer) Machine Learning - Remote
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Bizee
Sobre el empleo
Categoría: Tecnologías de la Información - Sistemas
Subcategoría: Inteligencia artificial
Educación mínima requerida: Universitario titulado
Detalles
Contratación:
PermanenteHorario:
Tiempo completoEspacio de trabajo:
Desde casaBeneficios
- Prestaciones superiores a las de la ley
Descripción
We are looking for an AI Product Manager with a strong technical foundation in AI and ML (Machine Learning) to lead the strategy, roadmap, and execution of our AI initiatives. In this role, you will serve as the bridge between business stakeholders, AI engineers, data scientists, and researchers—ensuring our AI products are innovative, technically sound, and aligned with business goals.
The ideal candidate combines product management expertise with hands-on experience in AI/ML systems to effectively guide projects from ideation through deployment and scaling.
Responsibilities
- Own the AI product strategy and roadmap in alignment with company goals.
- Partner with engineers, data scientists, and researchers to translate business needs into clear technical requirements.
- Oversee end-to-end AI product lifecycle—from concept, prototyping, and testing to production deployment and iteration.
- Facilitate communication between technical teams and non-technical stakeholders.
- Prioritize product features and technical trade-offs based on impact, feasibility, and resources.
- Stay ahead of trends in LLMs, generative AI, and emerging machine learning technologies to inform product strategy.
Qualifications
- 3+ years of experience in product management or technical project leadership.
- Strong english skills (fluent english - both written and spoken) - Mandatory
- Hands-on experience in AI/ML or data engineering (Python, ML frameworks, data pipelines, or model deployment).
- Strong understanding of machine learning concepts, LLM workflows, and AI system architecture.
- Proven ability to work closely with technical teams and understand engineering constraints.
- Excellent communication skills, able to clearly explain technical details to non-technical audiences.
- Strong problem-solving skills and the ability to make data-driven decisions.
Nice to Have
- Experience prototyping LLM-powered or generative AI products.
- Familiarity with MLOps and productionizing AI systems.
- Background in enterprise AI adoption or AI consulting.
- Understanding of data privacy, security, and compliance in AI contexts.
- Technical contributions to open-source or research projects.
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field.
- PhD in a relevant field is a plus.
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ID: 20692046