Ingeniero especialista en inteligencia artificial

Requirements

• Ability to work in a team-based environment and a commitment to continuous learning and
• improvement.
• Requires 3+ years of experience in AI/ML development and deployment:
• Python TensorFlow, PyTorch, Scikit-learn, Keras
• MLOps & Cloud: MLflow, Kubeflow, Azure ML, AWS SageMaker
• NLP & Computer Vision Hugging Face Transformers, OpenCV, YOLO,
• spaCy
• Data Engineering: Apache Spark, SQL, Pandas, dbt
• Requires 3+ years in experiment tracking and version control for AI:
• Git & DVC Version control for code and datasets (GitHub, GitLab)
• MLflow / Weights & Biases for experiment tracking and model registry
• Docker & Kubernetes Containerization and orchestration for AI model
• serving
• Deep knowledge about machine learning algorithms, model architectures, and AI system design.
• Knowledge in statistical modeling, data analysis, and hypothesis testing.
• Experience with large language models (LLMs), generative AI, and prompt engineering.
• Knowledge in the field of responsible AI, model explainability (XAI), and fairness frameworks.
• Ability to interpret and communicate AI model results to both technical and non-technical
• audiences.
• CeFQ.125 Position Guide - Job Description
• Job Description
• CeFQ.125 Rev 03 01/24/2024
• Ref. CePQ063
• Knowledge in data governance, data lineage, and AI traceability systems (e.g., feature stores,
• model registries).
• Proficiency in cloud platforms: Azure, AWS, or GCP for AI/ML workloads and deployment.
• Knowledge in API design, microservices architecture, and AI model integration with enterprise
• systems.
• Deep knowledge in AI model evaluation metrics, A/B testing, and statistical performance analysis

Benefits

Additional Information

Design, develop, and deploy artificial intelligence and machine learning solutions to support business processes and product innovation. Lead AI model lifecycle management including data collection, model training, validation, deployment, and continuous improvement. Develop internal frameworks, guidelines, and best practices to ensure responsible and effective use of AI technologies across the organization. EDUCATION: Bachelor's degree in Computer Science / Data Science / Artificial Intelligence / Software Engineering.

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Company Intel

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