Requirements: English
Company: NTT DATA Europe & Latam
Region: catalonia, espana , Catalonia
NTT DATA is a team of more than 139,000 diverse professionals, operating in more than 50 countries throughout the world. The sectors where we have activities include: telecommunications, finance, industry, utilities, energy, public administration and health.
Our mission? Offer technological solutions, business, strategy, development and maintenance of applications, while being a benchmark in consulting. All thanks to the collaboration between teams, the human quality of our people and the fact that we do not conform to what is established, we always seek innovation that brings us closer to the future.
Our essence has led us to the forefront of technology, breaking paradigms and providing solutions that truly respond to the needs of each client. Our talent has led us to be one of the top 6 technology companies in the world.
Because #Greattech, needs #GreatPeople, like you
MLOps practices are both a strategic bet and a fast-growing initiative and thereby we are currently looking for an Azure AI Architect . The position can be based in Spain Barcelona, even if the geographical scope is Europe. The desirable characteristics are:
What are we looking for?
We want to add an Azure AI Architect to our team to take on the technical decision-making in projects within the scope of our Data & Intelligence CoE, working in initiatives for top-tier organizations.
We are looking for a professional who brings his knowledge and experience in artificial intelligence to be in charge of a growing group of consultants focused on:
- Define a logical and cloud aware AI Platform framework/methodology.
- Build AI Platforms in Azure aligned with the logical version defined with GCP and Azure teammates.
- Transforming our customers business through artificial intelligence, building platforms for AI development, standardizing methodologies for development, training, deploying and inference in AI use cases.
- Facing challenges related to MLOps practices, provide resources and tools for Data Scientist, give them flexibility for model development and robust methodology to allow its productivization, train models in an unattended way, monitorize the model performance and generate retrain alarms.
What will you be accountable for?
Your responsibilities around NTT Data artificial intelligence services will be focused on the following fields of action:
- Project execution: ensuring the achievement of project/service goals from a technical perspective in terms of effectiveness, efficiency and customer satisfaction. Identifying team and resources needed to do so while ensuring proper management of scope, quality, risks, planning economic parameters, etc.
- Technical decision making
- Hands-on technical skills
- AI Architecture design and implementation allowing Data Scientist to work with.
- MLOps procedures and methodologies definition
- Keep updated with last AI solutions and tools on Azure
Why would we want to meet you?
- We want to meet you if:
- You have 2 or more years working with MLOps solutions
- You have 3 or more years of experience with Azure
- You have 3 or more years of experience with Azure (Networking, Roles, Security)
- You have 1 or more years of experience working with Azure Machine Learning.
- You have 1 or more years working with IaC (Terraform)
- You have 2 or more years working with CI/CD tools (Azure DevOps, Github etc)
- You have worked with artificial intelligence in a startup, large company or academic environment helping Data Scientist to deploy their work in production.
- You are oriented to achieving high quality results and continuously improving.
- You lead teams and are autonomous in decision-making.
- You are committed to transmitting knowledge to the entire team.
We will positively value:
Experience with OpenAI and Cognitive Services
Kubernetes
Databricks
Docker
What do we offer?
We propose:
- To work on projects for leading companies in Spanish and European market.
- To be involved in high priority projects with visibility to senior leadership
- To apply the latest technical innovations in artificial intelligence platforms in Azure.
- To attend and give conferences.
- To join the team of a cons