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. 

At Avanade, we help organizations see the future faster then actually build it.

Come join to do what matters

Our Advisory & Experience practice blends strategy, creativity, and AI-powered technology to reimagine products, services, and systems that impact millions of people from public healthcare to airports, banks, and global brands.

Now we’re looking for an intern who’s ready to jump in, learn fast, and help shape the next wave of human-AI experiences. 

What You’ll Do

• Join project teams working on real client challenges (think: AI for nurse handovers, smarter cities, future banking).
• Help run discovery and design workshops mapping journeys, capturing requirements, and prototyping wireframes.
• Translate ideas into structured insights: business requirements, user stories, process flows.
• Explore GenAI tools, data, and design thinking methods to supercharge client solutions.
• Collaborate with strategists, designers, engineers, and client stakeholders.
• Contribute to the “big picture” while sweating the details slides, user flows, or that one killer insight.
• Work on impactful projects in Southeast Asia not just “slides in the corner,” but initiatives that touch citizens, patients, and customers at scale.
• Learn directly from senior strategists, designers, and AI innovators (your mentors are advising governments and Fortune 500s).
• Experiment with the latest Microsoft tech stack (Azure, OpenAI, Power Platform, Dynamics, Azure).
• Build a portfolio of strategy + design work that shows you can bridge business and technology.
• Get the energy of a startup with the backing of a global joint venture (Accenture + Microsoft).
• You will also,
  •  Work on innovations that matter.
  • Learn the language of both boardrooms and design studios.
  • See how strategy and tech actually move from whiteboard to world.

Summary

We are looking for Junior Machine Learning Engineers with hands-on experience in LLMOps, deep learning, statistical modeling, and software development. As part of Data& AI team, you will develop analytics solutions based on machine learning & statistical predictive algorithms for our clients. Together we do what matters.

Key responsibilities

• Work on the development of ML, AI, and statistical algorithms and solutions using R and Python

• Prepare advanced data analyses and support in the presentation of results to business stakeholders

• Work with team members and leads to define Data Science use cases using current and emerging technologies

• Transforming data science prototypes and applying appropriate ML algorithms and tools

• Turning unstructured data into useful information by auto-tagging images and text-to-speech conversions.

• Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.

• Developing ML algorithms to analyze huge volumes of historical data to make predictions.

• Running tests, performing statistical analysis, and interpreting test results.

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. 

Summary

Embark on a journey where your expertise in Data Engineering catalyzes impactful business decisions. You'll design, build, and manage sophisticated data solutions, ensuring accessibility and analysis to drive advanced analytics. Together we do what matters.

Key responsibilities

• Create dashboards and interactive visual reports using Power BI; Identify key performance indicators (KPIs) with clear objectives and consistently monitor KPIs

• Analyzing data and present data through reports that aid decision-making

• Create relationships between data and develop tabular and other multidimensional data models

• Chart creation and data documentation explaining algorithms, parameters, models, and relations

• Analyze current ETL process, define and design new systems

• SQL querying for best results, use of filters and graphs for better understanding of data

• Work with users and team members at all levels for performance improvement and suggestions

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.