This is a hands-on, execution-focused role for someone who is analytical, detail-oriented, and genuinely excited about making AI work in the real world. You will work closely with an AI Delivery Lead and collaborate across client-facing and technical teams to turn business needs into working, high-impact AI solutions.
What you'll do:
- Prepare, structure, and upload client data into Aily's proprietary data models, ensuring accuracy, quality, and completeness
- Adapt and configure data models to fit specific client contexts, business processes, and decision workflows
- Run and operate AI models end-to-end, taking ownership of model performance and output quality across client tenants
- Execute model fine-tuning and optimization cycles to continuously improve decision outcomes and business relevance
- Monitor and validate AI outputs on an ongoing basis, identifying inconsistencies and proactively resolving quality issues
- Develop a deep understanding of each client's business routines, user workflows, and decision-making processes to ensure AI solutions are practical, relevant, and adopted
- Track and report on tenant health metrics, surfacing insights and recommendations to maximize client impact
- Collaborate with the AI Delivery Lead, Product, and Engineering teams to flag issues, share learnings, and contribute to platform improvements
Your ProfileWe're looking for an analytical and execution-driven professional who combines technical aptitude with a strong sense of ownership and business curiosity.
What you bring:
-
Educational background: Bachelor's degree in Computer Science, Data Science, Mathematics, Statistics, or a related field
-
Technical foundation: Proficiency in Python and SQL; solid understanding of data structures and modeling concepts
-
Execution mindset: Strong attention to detail, a structured approach to problem-solving, and a drive to get things done with high quality
-
Operational ownership: Comfortable taking responsibility for the quality and performance of the solutions you manage
-
Learning agility: Eager to deepen expertise in AI decision systems, model fine-tuning, and agentic AI architectures
-
Collaboration: Clear communicator who works effectively across technical and non-technical stakeholders
-
Adaptability: Able to context-switch across different industries, business functions, and client environments
-
User empathy: Genuine interest in understanding how end users interact with AI in their daily work, and what makes solutions truly useful
Bonus points if you have:
- Familiarity with ML frameworks such as scikit-learn, PyTorch, or similar
- Experience with cloud platforms (AWS, GCP, or Azure)
- Previous internship or work experience in a data, analytics, or AI-related role
- Exposure to enterprise software implementations or client-facing technical roles