ARTIFICIAL INTELLIGENCE/MACHINE LEARNING ENGINEER
Descripción de la oferta de empleo
Work in an Agile environment
Develop, train and maintain Architecture and Configuration guidelines and various tools that depict the standard, approved equipment that can be planned, engineered and installed in the network
Employ engineering principles to manage, process, and analyze extensive and intricate data sets, ensuring data integrity and precision.
Utilize advanced analytical methods to derive meaningful insights and identify trends from multi-dimensional data.
Design and develop predictive models using machine learning algorithms to forecast relevant outcomes.
Harness AI to automate and refine PEG documents and processes, facilitating more efficient and effective decision-making.
Propose and implement enhancements to new and existing PEG documents, processes and models, aiming for greater accuracy and efficiency.
Provides direction, training, and guidance as a resource for less experienced staff.
Prepares and delivers PEG training focused on tools and equipment.
Qualifications
English proficiency (C1/C2).
Bachelor’s degree in computer science or related field or the equivalent in training and experience
Proficiency in Network architecture and equipment/software
3+ years of scripting language development experience (BASH or similar).
Expert-level proficiency in Microsoft Excel and database management
Advanced skills in SQL, Python, and Microsoft Copilot for data manipulation, analysis, and modeling
Proficient in machine learning and artificial intelligence, including supervised and unsupervised learning, natural language processing, computer vision, deep learning, and neural networks
Experienced in data visualization and storytelling, particularly using Power BI
Experience with one or more languages, such as Python, Perl or similar.
Experience with Databases and how best to host these in a cloud environment. Skills with LMDB and LDAP are recommended.
Experience with JSON REST APIs and familiarity with Postman or other API design platform such as Apigee and/or Swagger.
Familiarity with big data technologies (BigQuery, Mongo, SQL, Kafka) is a plus.
Familiarity with network services including TCP/IP, DHCP, DNS, and Radius.
Intermediate experience with traditional server-based Network Management Systems (NMS) is a bonus
Condiciones:
Contrato Indefinido directamente con el cliente final.
Seguro médico privado el mejor del mercado.
Tarjeta Sodexo; vayan o no a la oficina, se les ingresan 160€ mensuales.
Clases de perfeccionamiento de inglés.
Programa de formación interna, que incluye el pago de certificaciones con proveedores.
En el office, tienen comida y bebida gratis.
Muy buen ambiente de trabajo, gente joven.
23 días laborables de vacaciones.
Ubicación: Méndez Álvaro (Madrid).
Trabajo: tienen que ir 2 días a la semana a las oficinas (situadas en Méndez Álvaro), pueden elegir los días de teletrabajo. Para las personas que van más de 2 días/semana a la oficina se puede gestionar plaza de aparcamiento gratuita en el parking de las oficinas.
Salario ofrecido: Podemos llegar hasta 60.000 € brutos anuales + 10% de bonus.
Detalles de la oferta
- Sin especificar
- 24/11/2024
- 22/02/2025
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