Sr. Principal - Intelligence Engineering (AI/ML)
Role details
Job location
Tech stack
Job description
- Advance the craft by developing and sharing Machine Learning thought leadership and vision, internally and to clients.
- Build a sense of community and encourage a culture of collaboration and curiosity by taking part in and coordinating opportunities, such as presenting at technical conferences, community groups, writing blog articles, and contributing to partner-coordinated workshops
- Hands-on with ML data platforms (e.g., AWS Sagemaker, Azure ML Studio, Google Cloud Vertex AI)
- Write in Python or other languages to deliver a wide variety of AI & Machine Learning solutions
- Recommend and implement architecture to deploy machine leaning pipelines and CI/CD processes at scale for some of our most challenging engagements
- Stay abreast of new tools, packages, and Machine Learning techniques, while consistently pushing the limit of what is possible to deliver the best solutions for clients
- Collaborate with Product Owners to apply Slalom's Agile processes and be responsible for the initiation, delivery, and transition of projects for your team in a client-facing role
- Act as an advocate and mentor to junior engineers and architects, providing them with career guidance, meaningful work, and professional development opportunities
- Collaborate with a variety of stakeholders across the Slalom organization and our clients to discuss their project needs
- Support pre-sales conversations with our client's most technical Machine Learning staff
- Ensure the delivery of successful outcomes for staffed teams
- Staff, lead, and mentor machine learning practitioners and engineers
- Share learnings and project findings with the wider Slalom Machine Learning Community
- Be a trusted partner to clients and uphold Slalom's values
Travel may be required on a limited basis dependent on your client engagement or internal meetings/events.
Requirements
- Experience leading technical project delivery teams
- Experience with implementing ML solutions with two, or more, cloud frameworks (e.g., AWS Sagemaker, Azure ML Studio, Google Cloud Vertex AI)
- Experience implementing machine learning models in production
- Experience developing models and other data science work utilizing Python
- Familiarity, or strong desire to work with and gain an understanding of Generative AI, such as working with foundation models (GPT-3/4, Gemini, Mixtral, Llama, etc.)
- Experience with building computer vision models - Preferred
- Ability to lead exploratory data analysis within new subject matters or new data structures
- Familiarity with Agile project delivery (Scrum, Kanban, SAFe, XP, and Lean)
- Experience with designing and engineering MLOps pipelines or CI/CD implementations
- Collaborating with peers and leading peer reviews within your project team
- Two or more of the following other languages: Python, SQL, Java, C#, R, JavaScript, Go, Spark
Benefits & conditions
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 role, we are hiring at the following levels and salary ranges:
- East Bay, San Francisco, Silicon Valley:
- Senior Principal: $190,000-$258,000
- Boston, Los Angeles, New Jersey, New York City, Orange County, San Diego, Seattle, Washington DC, White Plains:
- Senior Principal: $174,000-$237,000
- All other locations:
- Senior Principal: $159,000-$217,000