Slalom Build is looking to solve complex problems for their clients by designing and delivering innovative Machine Learning solutions as part of intelligent products on Amazon Web Services, Azure, and Google Cloud.
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
- Two or more of the following other languages: Python, SQL, Java, C-Sharp, R, JavaScript, Go, Spark
Responsibilities
- 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
Other
- Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
- Travel may be required on a limited basis dependent on your client engagement or internal meetings/events.
- Ability to lead exploratory data analysis within new subject matters or new data structures
- Collaborating with peers and leading peer reviews within your project team
- Staff, lead, and mentor machine learning practitioners and engineers
