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Senior ai architect

Araucária
beBeeArtificial
Anunciada dia 20 dezembro
Descrição

Job Summary

We are seeking a seasoned Machine Learning Engineer to spearhead the development of advanced AI solutions. As a key member of our team, you will be responsible for designing and implementing cutting-edge AI strategies, collaborating with data scientists and engineers to create scalable cloud-based architectures, and staying abreast of the latest trends and technologies in the field.




Key Responsibilities

1. o You will join teams to design and implement AI solutions and systems for clients across various sectors.
o You will propose innovative solutions to complex problems, quickly testing and iterating to identify the best performing solution.
o You will collaborate with data science, cloud engineering, and UI designers and developers to design and develop AI-driven architectures.
o You will stay ahead of the latest AI trends and technologies to continuously improve our AI offerings.
2. o You will work closely with clients to understand their business challenges and objectives, translating them into AI-driven solutions.
o You will be a team player, ensuring the timely and successful delivery of AI projects, maintaining high standards of quality, accuracy, and impact.
o You will present AI strategies, solutions, and project outcomes to stakeholders, both technical and non-technical.
o You will nurture client relationships, building credibility and trust through consistent high-quality delivery.
3. Operational Excellence:
o You will be part of the deployment, monitoring, and maintenance of AI solutions, ensuring they perform reliably at scale.
o You will develop frameworks and processes to ensure AI models are robust, explainable, and aligned with regulatory standards.




Requirements

* English is a must.
* Proven experience in AI/ML engineer roles, ideally in consultancy or enterprise environments.
* Strong expertise in AI/ML algorithms, tools, and frameworks (e.g., LangChain, MCP, PyTorch, Scikit-learn).
* Experience with cloud platforms (e.g., Azure, AWS, GCP) and cloud-native AI/ML architectures.
* Understanding of AI/ML model lifecycle management, including explainability, ethics, and fairness in AI.
* Basic stakeholder management and client-facing experience, with the ability to articulate complex AI concepts to business leaders.
* Proficiency in Python, C#.
* Hands-on experience with big data technologies and distributed computing is a plus.

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