Artificial Intelligence/Machine Learning Engineer
Role details
Job location
Tech stack
Job description
- 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.
Requirements
- 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
Benefits & conditions
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Contrato Indefinido directamente con el cliente final.
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Seguro médico privado el mejor del mercado.
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Tarjeta Sodexo; vayan o no a la oficina, se les ingresan 160€ mensuales.
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Clases de perfeccionamiento de inglés.
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Programa de formación interna, que incluye el pago de certificaciones con proveedores.
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En el office, tienen comida y bebida gratis.
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Muy buen ambiente de trabajo, gente joven.
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23 días laborables de vacaciones.
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Ubicación: Méndez Álvaro (Madrid).
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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.