Slalom Build
AI/ML Engineer
Slalom Build, Charlotte, North Carolina, United States, 28245
*Please note:
This is a hybrid role and is
not
eligible
for
100% remote
work. Employees must live within a commutable distance of either the Charlotte or Raleigh offices and must be willing to be onsite at the client and/or Slalom office when needed. Role:
AI/ML Engineer – Consultant/Senior Consultant level Who You’ll Work With As a modern technology company, we've never met a technical challenge we didn't like. We enable our clients to learn from their data, create incredible digital experiences, and make the most of new technologies. We blend design, engineering, and analytics expertise to build the future. What You’ll Do Create high-level and detailed design plans for AI and ML production solutions, including selecting appropriate AI algorithms, data sources, infrastructure, and technologies that align with the organization's goals and constraints. Develop python code and integrate with ML/AI management frameworks like MLflow, LangChain/LangSmith, Sagemaker/Bedrock, Vertex AI, Azure AI Studio, and more. Consult with business stakeholders to understand their needs and challenges, assess how AI techniques like machine learning, natural language processing etc. can address those needs. Design the overall architecture of AI solutions including the relationships between various components. Work with data engineers and scientists to ensure effective data collection and preparation for training AI models. Continuously monitor the performance of AI solutions and implement improvements. Keep updated with advances in AI technology and find opportunities to upgrade existing solutions. What You’ll Bring 3+ experience architecting and developing AI or machine learning solutions on platforms such as AWS, Databricks, Azure, Google Cloud and OpenAI. Software engineering and/or Data Engineering background, especially in one of the major clouds. Hands-on experience with Deep Learning, LLM, Python, TensorFlow, PyTorch and other AI frameworks. Experience putting ML/AI into production, and ability to talk through best practices and pitfalls. About Us Slalom is a purpose-led, global business and technology consulting company. From strategy to implementation, our approach is fiercely human. In six countries and 43 markets, we deeply understand our customers—and their customers—to deliver practical, end-to-end solutions that drive meaningful impact. 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. 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.
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This is a hybrid role and is
not
eligible
for
100% remote
work. Employees must live within a commutable distance of either the Charlotte or Raleigh offices and must be willing to be onsite at the client and/or Slalom office when needed. Role:
AI/ML Engineer – Consultant/Senior Consultant level Who You’ll Work With As a modern technology company, we've never met a technical challenge we didn't like. We enable our clients to learn from their data, create incredible digital experiences, and make the most of new technologies. We blend design, engineering, and analytics expertise to build the future. What You’ll Do Create high-level and detailed design plans for AI and ML production solutions, including selecting appropriate AI algorithms, data sources, infrastructure, and technologies that align with the organization's goals and constraints. Develop python code and integrate with ML/AI management frameworks like MLflow, LangChain/LangSmith, Sagemaker/Bedrock, Vertex AI, Azure AI Studio, and more. Consult with business stakeholders to understand their needs and challenges, assess how AI techniques like machine learning, natural language processing etc. can address those needs. Design the overall architecture of AI solutions including the relationships between various components. Work with data engineers and scientists to ensure effective data collection and preparation for training AI models. Continuously monitor the performance of AI solutions and implement improvements. Keep updated with advances in AI technology and find opportunities to upgrade existing solutions. What You’ll Bring 3+ experience architecting and developing AI or machine learning solutions on platforms such as AWS, Databricks, Azure, Google Cloud and OpenAI. Software engineering and/or Data Engineering background, especially in one of the major clouds. Hands-on experience with Deep Learning, LLM, Python, TensorFlow, PyTorch and other AI frameworks. Experience putting ML/AI into production, and ability to talk through best practices and pitfalls. About Us Slalom is a purpose-led, global business and technology consulting company. From strategy to implementation, our approach is fiercely human. In six countries and 43 markets, we deeply understand our customers—and their customers—to deliver practical, end-to-end solutions that drive meaningful impact. 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. 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.
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