Summary

Our Data Science team is made up of academically accomplished experts—and there’s room for more analytical and innovative data talents to join us.

We are seeking for an AI/ML Intern to join Avanade’s Analytics Team. You’ll join a community of smart, supportive collaborators to lift, mentor and guide you. As you bring your skills and abilities to Avanade, you’ll get distinctive experiences, limitless learning and ambitious growth in return. Together we do what matters.

Key Responsibilities

• Collaborate with interdisciplinary teams in combining technical, business, and data competencies
• Assist in preparing and supporting AI demo cases, including data setup, testing, and documentation.
• Support in the planning and implementation of data design services, providing sizing and configuration assistance, and performing needs assessments
• Explore Azure cloud computing platforms for Data Modernization, IoT and cloud AI services
• Work with structured and unstructured data, no SQL databases for creating test and validation data sets for ML algorithms

Summary

Join Avanade's Software Engineering team to develop and integrate services and APIs across front and back-ends, using your skills in JS, Angular/React, NodeJS, and C#/Java.

Key Responsibilities

• Develop and integrate services and APIs across front and back-ends

• Collaborate with team members to ensure application requirements are met

• Configure, build, and test application components

• Participate in quality management reviews

• Provide technical support and resolve performance issues

Summary:

Join Avanade's Software Engineering team to develop and integrate services and APIs across front and back-ends, using your skills in JS, Angular/React, NodeJS, and C#/Java.

Key Responsibilities:

•  Develop and integrate services and APIs across front and back-ends

•  Collaborate with team members to ensure application requirements are met

•  Configure, build, and test application components

•  Participate in quality management reviews

•  Provide technical support and resolve performance issues

Summary

Our talented Data & AI Practice is made up of globally recognized experts - and there’s room for more analytical and ambitious data professionals. If you’re passionate about helping clients make better data-driven decisions to tackle their most complex business issues, let’s talk. Take your skills to a new level and launch a career where you can truly do what matters.   

As an AI Engineer within our Data & AI Practice, you’ll leverage a client-centric approach to translate our client’s business strategy into solutions and services that lead to successful, impactful outcomes. You’ll engage in solutioning and support on the most strategic opportunities, intervene in high-risk complex deliveries, and contribute to shape the strategic direction around data architecture. Together we do what matters. 

Key Responsibilities

• As an AI Engineer, you will collaborate with cross-functional teams to design, develop, and deploy AI/ML solutions that address real-world business challenges.

• Build, train, and optimize machine learning models, including supervised, unsupervised, and deep learning approaches.

• Implement and maintain data pipelines, ensuring data quality and accessibility for model development and production.

• Work with cloud platforms (such as Azure, AWS, or GCP) to operationalize AI solutions, leveraging services like Azure ML, Cognitive Services, or their equivalents.

• Participate in code reviews, contribute to technical documentation, and support the integration of AI models into production systems.

• Stay current with the latest AI/ML research, tools, and best practices, and proactively share knowledge with the team.

• Troubleshoot and resolve issues in model performance, data quality, and deployment pipelines.

• Communicate technical concepts and results to both technical and non-technical stakeholders.

Additionally, you’ll also be comfortable in working on application development projects for our client who is a reputable business operating within the Alcohol, Tobacco, and Sanitary industry sector.