Google Cloud AI/ML Engineer

Global Data & Technology:

Who You'll Work With

Slalom Emerge is a team of trailblazers helping ensure we achieve our strategic goals of investing for the future and pursuing innovation as a competitive advantage. We empower our local markets by identifying emerging capabilities, building multi-disciplinary teams, and providing access to niche and hyper-specialized expertise.

What You'll Do

You will be part of a Center of Excellence (CoE), with focus on smart analytics, AI/ML and related technologies. This role is for someone with engineering skills in AI/ML at enterprise scale, who is passionate about developing frameworks for analytic solutions to help organizations drive strategic business outcomes, implement AI/ML or Analytics focused Centers of Excellence, and enable data-driven decision making and insights.

You will be responsible for architecture design/review, tuning/performance, and life-cycle management for all related artifacts and code.

Google Cloud AI/ML products and services

§ Conduct customer workshops to identify requirements and provide architecture design for smart analytics projects with Google Cloud AI/ML products & services.

§ Setup & configuration of Google Cloud AI/ML products and infrastructure

§ Design, develop, and maintain data pipelines, and cloud services for reporting, monitoring, analysis, and related functions.

§ Collaborate with business to ensure reliable and trust-worthy data for critical business decisions to improve reliability, scalability, and efficiency.

§ Build deployment pipelines for new models

§ Define application lifecycle management to deploy high-quality, well-tested, secure, and maintainable code, and continuously improve the tech stack to maximize the data engineering efficiency

§ Implement observability, logging and monitoring for AI/ML performance

§ Code review for ML models and other code related to smart analytics, AI & ML.

§ Engineering/architecture experience in Google Cloud including experience with complex data analysis techniques and visual analytics

§ Enterprise scale experience using Google AI/ML Products

What You'll Bring

§ Engineering/architecture experience in Google Cloud including experience with complex data analysis techniques and visual analytics

§ Enterprise scale experience using Google AI/ML Products

§ Solve business problems using one or more Google AI/ML services in combination with building data pipelines, data streams, and system integration

§ Transforming data science prototypes and applying appropriate ML algorithms and tools.

§ Experience with CI/CD and Development workflows for ML models and related code/scripts/apps

§ Familiarity with related tools such as TensorFlow, Kubeflow

§ Strong client-facing communication skills

§ Familiarity with agile software delivery methodologies such as Scrum

§ Regional travel up to 30%

About Us

Slalom is a modern consulting firm focused on strategy, technology, and business transformation. In 40 markets around the world, Slalom'steams have autonomy to move fast and do what's right. They are backed byregional innovation hubs, a global culture of collaboration, and partnerships with the world's top technology providers. Founded in 2001 and

headquartered in Seattle, Slalom has organically grown to over 10,000 employees. Slalom has been named one of

Fortune's 100 Best Companies to Work For five years running and is regularly recognized byemployees as a best place to work. Learn more at slalom.com.

Slalom prides itself on helping team members thrive in their work and life. As a result, Slalom is proud it invest in benefits that include: meaningful time off and paid holidays, parental leave, 401(k) with a match, a range of choices for highly subsidized health, dental, & vision coverage, adoption and fertility assistance, and short/long-term

disability. We also offer additional benefits such as a yearly $350 reimbursement account for any well-being related expenses as well as discounted home, auto, and pet insurance. Slalom is an equal opportunity employer that is committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans status, or any other characteristic protected by federal, state, or local laws.

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