Slalom is looking to solve complex and interesting business problems for their clients using AI and Machine Learning solutions.
Requirements
- 2-6 years of experience implementing models or machine learning algorithms into production
- Technical and conversational fluency in AI, GenAI, Machine Learning and at least one of the major clouds (AWS, GCP, Azure)
- Hands-on experience with RAG, agentic workflows, fine tuning, or other LLM-based techniques.
- Experience deploying ML/AI into production, and ability to talk through best practices and pitfalls.
- Understanding of validation frameworks for AI and ML tools, with knowledge of the production-ready offerings on the market for AI validation.
- Excellent python, especially for ML/AI use cases.
- Data Science and/or Data Engineering background preferred.
Responsibilities
- Apply Machine Learning, Deep Learning, and other relevant technologies to assist in building AI tools that solve real business problems.
- Assist in the design, development, presentation, and delivery of traditional ML solutions in areas such as Computer Vision, NLP, Recommendation Systems, etc.
- Stay updated on fundamental AI/ML concepts and emerging trends to contribute to solution discussions and development.
- Contribute to the growth of the AI/ML community within the organization through learning, mentoring, and sharing knowledge.
Other
- Strong consultative and communication skills, and the ability to convey complex technical concepts to diverse stakeholders.
- 1-3 years of professional Managed or IT Professional consulting experience.
- Must live within a commutable distance of one of the offices listed and must be willing to be onsite at the client and/or Slalom office when needed.
- Bachelor's degree or higher
- Travel requirements: must be willing to travel to client sites as needed
