Senior Architect - Machine Learning

Who You'll Work With

At Slalom Build we co-create modern technology and software products with clients who are ready to accelerate their digital transformation. We choose to imagine things made better, and then set out on a journey to realize what's possible. By blending design, product engineering, analytics, and automation, we build the custom-built software and data products of tomorrow. As a Senior Architect, you'll design and deliver innovative Machine Learning solutions as part of intelligent products on Amazon Web Services, Azure and Google Cloud using core cloud data science tools, ML Ops components, and other big data related technologies. This includes helping craft projects in their initial phases and delivering them with a team.

Job will be posted until June 26th.

We offer a flexible working environment to balance the need to work independently, with some days that may require in-person collaboration at our office.

What You'll Do

• Provide Machine Learning thought leadership and vision internally and to clients. Build a sense of community and encourage a culture of collaboration and curiosity

• Implement models and algorithms on multiple cloud providers

• Write in Python or other languages to deliver a wide variety of Machine Learning & Data Science solutions

• Recommend and implement architecture to deploy machine leaning pipelines and CI/CD processes at scale

• Stay abreast of new tools, packages, and Machine Learning techniques and consistently push the limit of what is possible to deliver the best solutions

• Collaborate with Product Owners to apply Slalom's agile process and be responsible to lead the initiation, delivery, and transition of projects for your team in a client-facing role

• Explains model results to technical and non-technical audiences including leading highly technical presentations

• Lead and mentor engineers and machine learning practitioners. Lead smaller projects (3 to 5 people) as the technical lead from project initiation to delivery

• Share project findings with the wider Machine Learning group

• Build and maintain relationships with customers

• Collaborate with a variety of stakeholders across the Slalom organization

• Will be delivery-focused approximately 85-95% of the time

• Willingness to travel up to 50%, at peak times

What You'll Bring

• 5+ years of experience implementing models or machine learning algorithms in production

• Experience on any of these cloud platforms (AWS, Azure, GCP)

• Experience developing models and other data science work - Python (preferred) or R

• Recognized as an authority on a technical topic (e.g. Recommendation Systems) with a generalist familiarity of several AI/ML techniques

• Ability to lead exploratory data analysis within new subject matters or new data structures

• Familiarity with Agile project delivery

• Excellent verbal and written communication skills

• Proficiency with both Linux and Windows

• (Preferred) Familiarity with ML Ops pipelines or CI/CD implementations

• (Optional) Experience leading a data science or other technical team

• (Optional) Familiarity with QA processes

• (Optional) Quantitative graduate degree

• (Optional) One or more of the following other languages: Java, C#, R, JavaScript, Go, Spark

About Us

Slalom Build is a highly scalable, high-velocity Build as a Service firm. We work with clients in a flexible, collaborative, and repeatable methodology to create custom technology solutions for their most impactful initiatives and to accelerate their digital transformation journey. Over 1500 Builders strong, distributed across eleven dynamic cities, our innovation hubs attract the type of people who contribute to thriving teams. By placing builders in close proximity to clients - as well as their cultural and technology cohorts - we can assure the quality, versatility, and speed that product delivery demands, along with the elasticity and scale to tailor to individual client needs.

Slalom Build leverages a foundation of innovation inherited from Slalom, a Seattle-based firm that set out in 2001 to disrupt and redefine management consulting. Now 13,000+ professionals strong around the globe, Slalom is deeply engaged with some of the world's most influential, change-making enterprises. Learn more at slalombuild.com

Compensation and Benefits

Slalom prides itself on helping team members thrive in their work and life. As a result, Slalom is proud to 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 yearly $350 reimbursement account for any well-being-related expenses, as well as discounted home, auto, and pet insurance.

Slalom is committed to fair and equitable compensation practices. For this Senior Architect position (Level 4), the base salary pay range is $134,000 to $185,000. We are open to hire an Architect (Level 3), for which the base salary pay range is $119,000 to $164,000, or a Principal (Level 5), for which the base salary pay range is $152,000 to $209,000. In addition, individuals may be eligible for an annual discretionary bonus. Actual compensation will depend upon an individual's skills, experience, qualifications, location, and other relevant factors. The salary pay range is subject to change and may be modified at any time.

EEO and Accommodations

Slalom is an equal opportunity employer and is committed to inclusion, diversity, and equity 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. Slalom will also consider qualified applications with criminal histories, consistent with legal requirements. Slalom welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the selection process. Please advise the talent acquisition team if you require accommodations during the interview process.