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Senior AI Engineer
4 months ago
This is a hybrid role (not eligible for 100% remote), all employees must live within a commutable distance from our Miami or Tampa Bay office.
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. We surround our technologists with interesting challenges, innovative minds and emerging technologies.
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 needsDesign the overall architecture of AI solutions including the relationships between various componentsWork with data engineers and scientists to ensure effective data collection and preparation for training AI modelsContinuously monitor the performance of AI solutions and implement improvements Keep updated with advances in AI technology and find opportunities to upgrade existing solutionsWhat You’ll Bring
3+ years experience architecting and developing AI or machine learning solutions on platforms such as AWS, Databricks, Azure, Google Cloud and OpenAI.Hands-on experience with Deep Learning, LLM, Python, TensorFlow, PyTorch and other AI frameworksExperience bringing a GenAI project through production and implementationAbility to think creatively and collaborate about applying AI to solve business problems with multiple capabilities, including Experience Design, Change Management and Process ReengineeringExcellent communication and presentation abilities to explain AI solutions to stakeholdersBachelors or Masters degree in Computer Science, Machine Learning or related fieldAbout 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. Backed by close partnerships with over 400 leading technology providers, our 13,000+ strong team helps people and organizations dream bigger, move faster, and build better tomorrows for all. We’re honored to be consistently recognized as a great place to work, including being one of Fortune’s 100 Best Companies to Work For seven years running. Learn more at slalom.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.
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.
