Come join us! In your day-to-day, you will participate in all phases of Avanade's projects, support infrastructure development, and contribute to defining technological operations.
You will join a team that values innovation and commitment, always focusing on the positive impact for our clients and society.
Together, we do what matters.
Skills and Experiences
1. Working knowledge of Python
2. Knowledge of GenAI services available in cloud platforms
3. Developed solutions in an experiment, prototype, pilot, MVP type evolution
4. Excellent verbal and written communication skills
5. Demonstrated ability to deliver working solutions on a tight schedule
6. Strong analytical thinking and problem-solving skills
7. Good understanding of the Data Science model development lifecycle (Data understanding, Data cleaning, Feature engineering, Model training, Evaluation and Monitoring)
8. Basic understanding of all the AI fields (Computer Vision, NLP, Optimization, Time-Series, Expert Systems, Deep Learning, etc.)
9. Knowledge of data-processing architectures (Lambda, Kappa)
10. Product and Market Strategy
11. Business Design
12. Research and Development Operations
13. Process Innovation
14. Technological Innovation
About You
1. 2 years of experience in building API driven interface development
2. Experience in developing cloud applications running on Microsoft Azure (preferred), Google Cloud Platform or Amazon Web Service
3. Experience in asynchronous communication services and event streaming platforms
4. Experience in container-based deployments using Kubernetes or similar technology
5. Experience in making deployments secure and scalable by applying proper development patterns
6. Experience with relational databases, NoSQL Databases, Graph Databases
7. Experience in designing and implementing systems using emerging technology
8. Experience in agile software development or similar methodologies
9. Experience with DevOps stacks: version control, GitFlow, CI/CD, etc.
What You'll Do
AI Engineers use various programming languages, analytics platforms, AI frameworks, ML libraries, and APIs to design complex applications. This job at Avanade is a critical part of the broader technical team including data scientists, data engineers, architects, project managers, technical experts, and other consultants. AI Engineering focuses on AI solutions developed in conjunction with data scientists on Microsoft Azure cloud environments.
Understand the business problem to be solved including the people, processes, and systems. Have a view of the limitations of traditional technologies and areas of application for AI technologies. Convert the high-level business requirements into functional and non-functional requirements to support the design phase. Identify and select appropriate technologies for solving problems and formulate AI solution blueprints for development. Determine the relevant software tools to fill the functional and non-functional requirements of the solution as defined by the client and technical team.
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