Especialista en operaciones de machine learning nuestra organización busca un especialista en operaciones de machine learning para unirse a nuestro equipo. este profesional será responsable de gestionar la infraestructura y automatizar los flujos de trabajo para garantizar la escalabilidad y eficiencia de los modelos de machine learning en producción. se requiere experiencia en ingeniería de software, dominio de algoritmos de aprendizaje automático y habilidades en análisis de datos y estadística. el candidato ideal tendrá conocimientos en sistemas de control de versiones y pipelines ci/cd. las responsabilidades del cargo incluyen: - gestionar la infraestructura y recursos en azure - automatizar los flujos de trabajo y asegurar la escalabilidad de los modelos - diseñar y mantener pipelines de integración y despliegue continuo además, se ofrece la oportunidad de trabajar en proyectos innovadores que impactan positivamente en la organización. se proporciona un ambiente de trabajo dinámico y desafiante donde el candidato puede crecer profesionalmente. para este cargo, se buscan las siguientes habilidades: - trabajo equipo - comunicación escrita y verbal - atención al detalle - capacidad de autogestión puedes considerarte un buen candidato si tienes experiencia en machine learning y deseas unirte a un equipo comprometido con la innovación y el crecimiento profesional....
As a senior machine learning engineer, you will be responsible for designing, developing, and maintaining large-scale machine learning pipelines. your primary goal will be to develop innovative solutions that drive business value. - key responsibilities: - design, implement, and maintain robust machine learning models that deliver high accuracy and performance. - collaborate with cross-functional teams to integrate machine learning into business processes. - develop and optimize data pipelines to ensure efficient data processing and analysis. - implement and manage cloud-based infrastructure to support scalable machine learning operations. - partner with data scientists to develop and deploy predictive models that drive business insights. - analyze and resolve complex technical issues related to machine learning and data engineering. requirements - a minimum of 5 years of experience in programming languages, preferably python, along with strong sql knowledge. - demonstrable history of leading and mentoring a team of engineers. - documented mlops experience (sagemaker, vertex, or azure ml). - intermediate proficiency in data science, data engineering, and devops engineering. - a track record of at least one project delivered to production in an mle role. - expertise in engineering best practices. - familiarity with big data technologies (e.g., hadoop, spark, kafka, cassandra, gcp bigquery, aws redshift, apache beam, etc.). - proficiency with automated data pipeline and workflow management tools, such as airflow, argo workflow, etc. - experience with various data processin...
Expert machine learning engineer opportunities we are seeking a highly skilled expert machine learning engineer to join our team. this role involves contributing to the design, development, and operation of machine learning pipelines based on best practices. - create efficient and scalable machine learning models that meet business needs - design, develop, and maintain complex machine learning systems - collaborate with data scientists to productionalize predictive models and create scalable data preparation pipelines - own and contribute to the design and implementation of machine learning prediction endpoints - collaborate with system engineers to configure the machine learning lifecycle management environment - support the improvement of coding practices and organization within the science work cycle - establish and configure pipelines for projects - identify technical risks and gaps continuously, and devise mitigation strategies mandatory skills - python programming experience with strong sql knowledge - mlops experience (e.g., sagemaker, vertex, azure ml) - intermediate level in data science, data engineering, and devops engineering - experience with at least one project delivered to production in an mle role - experience with the apache spark ecosystem (e.g., spark sql, mllib/sparkml) - experience with automated data pipeline and workflow management tools (e.g., airflow) - experience in different data processing paradigms (batch, micro-batch, streaming) - practical experience working with major cloud providers (aws, gcp, azure) - production experience in integrati...
Job title we are seeking a highly skilled senior machine learning & llm engineer to lead and guide the development of innovative machine learning models and large language models (llms)....
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