Artificial Intelligence Architect
Artificial Intelligence Architect
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Job Description
SEEKING: Artificial Intelligence Architect
We are looking for an Artificial Intelligence (AI) Architect with 5 years of experience in AI and systems architecture.
Experience in both traditional AI and generative AI to design and lead the implementation of scalable robust and efficient solutions. He/She will be responsible for defining the architecture of solutions based on machine learning deep learning and generative AI ensuring their alignment with business needs and industry best practices.
Proceeds:
Opportunity to work on innovative AI projects across multiple sectors.
Continuous training plan in emerging technologies.
Dynamic environment with high-level technical teams.
TASKS & RESPONSABILITIES
Design architectures for AI solutions that integrate traditional (Machine Learning Deep Learning) and generative (LLMs Diffusion Models GANs) models.
Define AI implementation strategies in business environments ensuring scalability efficiency and regulatory compliance.
Select and evaluate technologies frameworks and tools to optimize the development and deployment of AI models.
Integrate AI solutions with cloud architectures using hyperscale services (AWS GCP Azure).
Monitor the full lifecycle of AI models from experimentation to production with MLOps AIOps or GenAIOps practices
Ensure data governance including quality security and regulatory compliance (GDPR HIPAA etc.).
Lead multidisciplinary teams in the development of AI-based solutions.
Continuously evaluate new AI technologies and their applicability in the business.
Optimize cloud AI infrastructure costs ensuring a balance between performance and budget.
Establish best practices in the development implementation and monitoring of AI models.
EXPERIENCE KNOWLEDGE & SKILLS :
More than 5 years of experience in AI solution architecture including generative AI.
Advanced knowledge of AI frameworks such as TensorFlow PyTorch Scikit-learn Hugging Face and LangChain.
Experience in generative AI including LLMs (GPT LLaMA Claude) and diffusion models (Stable Diffusion DALL E).
Proficiency in data processing with tools such as Pandas Spark and SQL/NoSQL databases.
Knowledge in vector databases and Generation Augmented Retrieval (RAG) systems.
Cloud AI Services Expertise:
AWS: SageMaker Bedrock Comprehend Rekognition.
Azure: Azure Machine Learning OpenAI Service Cognitive Services.
Google Cloud: Vertex AI AutoML Generative AI Studio.
Knowledge in MLOps (CI/CD for models MLflow Kubeflow Docker Kubernetes).
Experience in developing AI APIs for internal and external consumption.
Familiarity with production model optimization techniques (quantization pruning distillation).
Technical leadership skills and communication with stakeholders from different areas.
Desirable:
Experience in hybrid architectures (Edge AI on-premise cloud).
Certifications in AWS Azure or GCP in Machine Learning / AI.
AI publications or contributions to the open-source community.
Proceeds:
EDUCATION :
Degree in Computer Science Systems Engineering Mathematics or a related field.
LANGUAGE :
Fluent in English- C1 (speaking and writing)
WE OFFER:
Full-time Freelance contract
Rate: 280/ 330 per day VAT (according to the experience provided)
Long-Term Project
Location: Madrid Hybrid: In person 1 day per week
Desired start date: ASAP
AI, Cloudera, English
Employment Type
Full Time
