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MLOps (GCP / IA)

Remote:

Full Remote

Contract:

Full time

Experience:

Mid-level (2-5 years)

Work from:

Spain, Iowa (USA), United States

Offer summary

Qualifications:

Master's or Degree in Statistics, Mathematics, Computer Science, or related field, 3-4 years of experience in ML and Data Science, Proficient in Python, SQL for data manipulation, Hands-on experience with MLOps tools and techniques, Experience deploying Machine Learning models on Google Cloud.

Key responsabilities:

Develop and maintain MLOps processes
Deploy, monitor, and secure ML models
Handle AI generation models using GCP
Ensure effective use of CI/CD pipelines and version control
Collaborate on product development and insight extraction

Second Window

51 - 200 Employees

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Job description

Te ofrecemos crecer con nosotros en una de nuestras unidades tecnológicas como Machine Learning Engineer o MLOps en una posición estable y a largo plazo en modalidad 100 remoto.

Se necesita un perfil senior con a partir de 3-4 años de experiencia laboral en el ámbito de ML y Data Science y experiencia trabajando en el ámbito de GCP (IMPRESCINDIBLE no se valoran perfiles con menos de 3 años de experiencia) y muy valorable experiencia en proyectos con modelos de IA generativa.

Skills

Master s or Degree in Statistics Mathematics Computer Science or another quantitative field.

Strong problem-solving skills with a focus on product development.

Proficient in using statistical computer languages (Python SQL etc.) to manipulate data and derive insights from large datasets.

Strong emphasis on hands-on experience on MLOps tools and techniques for AI use cases covering deployment monitoring and maintenance diminishing the prominence of AI models like GenAI models (LMM transformers GPT OpenAI NLP).

Practical experience in deploying monitoring and securing Machine Learning models within cloud platforms Google Cloud (Vertex Gemini) is a must AWS (Sagemaker Bedrock) or Azure (ML Studio AutoML OpenIA) is nice to have. Experience with containerization technologies like Docker and container orchestration tools such as Kubernetes. Experience with different communications protocols such as API REST or MQTT.

Strong understanding of CI/CD pipelines and version control systems

¿Qué ofrecemos?

Contratación indefinida

Ubicación TELETRABAJO 100

Rango salarial 42-52K b/a (en función de la experiencia y expectativas del candidato).

Beneficios sociales Seguro médico privado y seguro de vida

Retribución flexible tickets restaurante tickets guardería tarjeta transporte

23 días de vacaciones y el día de tu cumpleaños

Plan de formación personalizado. Si sientes que podrías encajar y te apetece la experiencia ¡ponte en contacto con nosotros! Y te daremos toda la información que necesites.

¡Abre una nueva ventana a tu futuro con Second Window! ¡Inscríbete!

Machine Learning, data science, machine learning, Python, SQL