AI Developer
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SeniorFull-time·B2B
#340039·Dodano 13 dni temu·0
Źródło: In4geTech Stack / Keywords
AIGoogle Cloud PlatformGenerative AIMLOpsGCP
Firma i stanowisko
In4ge is a recruitment company focused on connecting talented employees with suitable companies to create synergistic relationships that contribute to growth and success. The company values collaboration in an atmosphere of mutual respect and trust.
Wymagania
- Minimum 4 years of experience in AI/ML.
- Experience building and deploying AI/ML models on Google Cloud Platform.
- Practical knowledge of Vertex AI and related AI services available in GCP.
- Knowledge of machine learning frameworks such as TensorFlow, PyTorch, or JAX.
- Familiarity with MLOps practices including model versioning, monitoring, and retraining.
- Very good knowledge of Python and experience in writing production code.
- Experience working with REST API and microservices.
- English language proficiency at C1 level.
- Ability to communicate with technical and business stakeholders.
Nice to have:
- GCP Professional Certification.
- Experience with generative AI, LLM, RAG architectures, and prompt engineering.
- Architectural certifications in Azure or AWS.
- Experience with Docker, Kubernetes, Cloud Run, and CI/CD pipelines.
- Knowledge of data governance and responsible AI frameworks.
- Higher education in Computer Science, Data Science, Mathematics, or related fields.
Obowiązki
- Design, develop, and deploy AI/ML and generative AI solutions using Google Cloud Platform services.
- Build and maintain comprehensive ML pipelines from data preparation to training, evaluation, and deployment of models.
- Ensure scalability, monitoring, and compliance of solutions with production standards.
- Apply MLOps practices, responsible AI, and good practices in AI solution development.
- Collaborate with data, AI teams, and business stakeholders.
- Track the development of AI services in GCP and industry trends.
Oferta
- Project cooperation under B2B model.
- Collaboration with experienced data architects, data scientists, and business stakeholders.
- Real impact on the development of intelligent applications delivering business value.
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