AI Engineer

FUTURE OPPORTUNITY - RECRUITING FOR THE FUTURE This posting is for a future job opportunity. To support the needs of our clients, Avanade is actively recruiting and interviewing for the role outlined below, as we continue to build on another year of growth in our business. Now, with more than 60,000 employees around the globe, we are positioning our organization to effectively prepare for the future. What does this mean for you? We encourage you to apply and interview for this role without the need to decide now. This allows you to connect with leaders and hiring managers at a pace that works for you and when roles become available, you will be the first know.

Introduction: Avanade's AI Engineer role is responsible for developing scalable AI solutions aligned to a business strategy and benefits case. The role will be to work as part of a team to impact 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.

About you:

• You likely possess a degree in Applied Mathematics, Statistics, Analytics, Economics/Econometrics, Engineering or another relevant field in the industry. An equivalent combination of education and experience will also suffice.

• You likely have about 1-2 years of demonstrable experience across the advanced analytics space, preferably in a consulting environment or a combination of experience and relevant education.

What you'll do:

• Customer onboarding, nominations, and vetting processes

• Proof of Concept design, lab scheduling, and monitoring of overall governance of AI Studio

• Provide Studio tours, manage demo showcase, and process improvements

• Conduct customer satisfaction surveys and share key learnings, run customer engagement reports and project retrospective reports as well as provide Studio summary for customer & logging product bugs with engineering team

• 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.

• 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.

Learn more:

To learn more about the types of projects our Analytics team works on check out these case studies:

• thyssenkrupp Materials Services uses data to help strike a delicate operational balance

• What matters to SSE Renewables is innovating for a sustainable future

Interested in knowing what's going on inside Avanade? Check out our blogs:

• Avanade Insights - exchange ideas that drive tomorrow's innovation

• Inside Avanade - explore what life is like working at Avanade

As required by local law, Avanade provides a reasonable range of compensation for roles that may be hired in California, Colorado, New York, and Washington as set forth below. Range of Starting Pay for role:

Seattle: $99,450-$111,150

San Francisco: $104,550-$116,850

Some of the best things about working at Avanade

• Opportunity to work for Microsoft's Global Alliance Partner of the Year (14 years in a row), with exceptional development and training (minimum 80 hours per year for training and paid certifications)

• Real-time access to technical and skilled resources globally

• Dedicated career advisor to encourage your growth

• Engaged and helpful coworkers genuinely interested in you

Find out more about some of our benefits Employee Benefits at Avanade | Avanade

Come join us: As an AI Engineer, you will be based in Avanade's AI Studio and 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.

Skills and experiences:

• Demonstrable professional experience with 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

• Software engineering experience using DevOps principals (Knowledge of DevOps workflows, Git, containers, CICD, etc.)

• Good communication and presentation skills. Able to explain complex analytical methodologies and concepts in non-technical language to audiences at multiple skill levels.

• Bonus Skills: Preference for prior experience working with Azure or cloud-based technologies such as AWS or GCP but not required.