AI Engineer, Cons / Sr Cons

Avanade; Toronto; On-site; CAD 80,000 - 120,000; Full time

Job summary

As an AI Engineer at a leading company, you will work in Avanade's AI Studio, helping clients leverage data insights using advanced techniques in Machine Learning and statistics. This role engages in developing innovative AI solutions, requiring strong analytical skills and prior experience in analytics. You will contribute to impactful projects in a collaborative environment focused on your professional growth and continuous learning.

Benefits

Minimum 80 hours annual training and paid certifications

Real-time access to global resources

Dedicated career advisor

Qualifications

• 2-3 years of experience in advanced analytics, ideally in consulting.
• Experience with Machine Learning techniques in industry scenarios.
• Education or experience in relevant technical field required.

Responsibilities

• Develop scalable AI solutions for clients, impacting real-world problems.
• Conduct customer satisfaction surveys and project retrospectives.
• Design and evaluate predictive models and advanced algorithms.

Skills

Machine Learning

Statistical Analysis

Data Modeling

Communication

Education

Degree in Applied Mathematics, Statistics, Analytics, Economics or Engineering

Tools

Python

R

SQL

Databricks

Azure ML

Job description

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.

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.
• Ability to obtain a Canadian reliability security clearance
• Ability to communicate in both written and spoken English & French is nice to have, but not required for this role

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 2-3 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.

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