Acuity Inc. is looking to leverage data and AI to drive tangible business impact across sales, customer service, and product management, by building intelligent co-pilots and shaping the future of smart, connected spaces.
Requirements
- Knowledge of SQL, data modeling, and at least one programming language (e.g., Python, C++, C-Sharp, Scala).
- Strong foundation in machine learning fundamentals (supervised/unsupervised learning, neural networks, model training, and evaluation).
- Demonstrated hands-on experience building or experimenting with AI-powered applications or prototypes (academic, personal, or professional).
- Experience fine-tuning or prompting large language models (LLMs) such as OpenAI GPT, Claude, or Gemini.
- Exposure to cloud-based ML platforms and tools (e.g., Azure ML, Databricks, Azure Stream Analytics).
- Familiarity with vector databases, retrieval-augmented generation (RAG), or AI agent frameworks.
- Experience with real-time data processing (Event Hubs, Kafka, Delta Live Tables).
Responsibilities
- Assist in architecting, implementing, and deploying data pipelines and data models that support Acuity’s analytics and AI initiatives using tools like Azure Data Factory, Databricks, and SQL.
- Perform data exploration, transformation, and validation on structured and unstructured data to ensure accuracy and usability for model training and business reporting.
- Help monitor and maintain data quality standards, documentation, and lineage; learn and apply best practices for security, compliance, and governance.
- Design and prototyping the AI agents that drive tangible business impact across sales, customer service, and product management.
- Contribute to high-visibility initiatives, build intelligent co-pilots, and help shape the future of smart, connected spaces through the power of data and AI.
Other
- Currently has, or is in the process of obtaining, a Bachelors, or Masters degree in Computer Science, Machine Learning, Data Science, Computational Engineering, Information Science, or a related technical field.
- Strong problem-solving, collaboration, and communication skills—able to approach open-ended problems with structure and explain complex ideas to diverse teams.
- Curious, self-driven, analytical and excited to play with data in a fast-paced environment.
- Interest in applying AI to business domains like sales, customer experience, product management, or building intelligence.
- All qualified applicants will be considered for employment without regards to race, color, age, gender, sexual orientation, gender identity and expression, ethnicity or national origin, disability, pregnancy, religion, covered veteran status, protected genetic information, or any other characteristic protected by law.
