Azure AI Engineer, Consultant

Avanade Company • Chicago, TX

2d • $100,000 - $145,350

About The Position

As an Azure AI Engineer, you will be responsible for developing scalable AI solutions aligned with business strategies and benefits cases. You will work as part of a team to address real-world problems by delivering technical AI work. To be successful in this role, you will need to be passionate about Data & AI, a continuous learner, and a strong team player. Come join us: As an Azure AI Engineer, you will help clients understand and extract insight and value from their data using Machine Learning and AI techniques. Working as part of a team, you will be involved in all phases of analytics projects, including question formulation, design, research and development, implementation, and testing. This role will explore and understand data and build advanced solutions that could be predictive, prescriptive, or optimize. What you'll do: Produce innovative solutions for Avanade's clients driven by exploratory data analysis from complex and high-dimensional datasets, both structured and unstructured, applying advanced statistical, machine-learning, and AI techniques. Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, find opportunities, pose business questions, and make valuable discoveries leading to better business decision-making. Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data. Communicate insights and deliver plans that steer business strategy and decision-making for one or more business segments. Work with Avanade's and client teams to translate prototypes into new products, services, and features and provide guidelines for large-scale implementations. Engage in hands-on coding to develop and implement AI models and solutions.

Requirements

• 3-5 years of professional experience in applying Machine Learning, analysis, and modeling of large-scale and complex data sets in industry scenarios.
• Highly skilled in statistical analysis, quantitative analytics, forecasting/predictive analytics, simulation, and optimization algorithms.
• Proficient in one or more statistical modeling tools and cognitive analytics like text analytics, image recognition, video analytics, etc.
• Proficient in model identification by use case/industry and knowledge of applying models to enterprise use cases.
• Highly proficient with two or more languages, such as Python, PySpark, R, SQL, etc., and tools like Databricks, Azure ML, and Azure Cognitive Services.
• Must have experience with the Azure platform, including Azure ML, Azure Cognitive Services and Azure AI Search.
• Experience with Copilot Studio and/or Azure AI Foundry used in a RAG and/or Agentic workflow
• Software engineering experience using DevOps principles (knowledge of DevOps workflows, Git, containers, CI/CD, etc.).
• Good communication and presentation skills.
• Able to explain complex analytical methodologies and concepts in non-technical language to audiences at multiple skill levels.
• You likely possess a degree in Applied Mathematics, Statistics, Engineering, or another relevant field in the industry.
• An equivalent combination of education and experience will also suffice.
• You likely have about 3-5 years of demonstrable experience across the advanced analytics space, preferably in a consulting environment or a combination of experience and relevant education.

Nice To Haves

• Experience with Microsoft Fabric, including data integration, data engineering, and data visualization capabilities.

Responsibilities

• Produce innovative solutions for Avanade's clients driven by exploratory data analysis from complex and high-dimensional datasets, both structured and unstructured, applying advanced statistical, machine-learning, and AI techniques.
• Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, find opportunities, pose business questions, and make valuable discoveries leading to better business decision-making.
• Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data.
• Communicate insights and deliver plans that steer business strategy and decision-making for one or more business segments.
• Work with Avanade's and client teams to translate prototypes into new products, services, and features and provide guidelines for large-scale implementations.
• Engage in hands-on coding to develop and implement AI models and solutions.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level