Invisible Technologies is looking to solve the problem of scaling models and improving platform performance for its AI/ML clients.
Requirements
- Proficient in Python, with experience building ML models or working with frameworks like PyTorch, TensorFlow, or similar
- Familiarity with building or supporting production-grade ML systems, such as RAG pipelines or agent-based applications
- Solid understanding of core data science concepts, including statistical modeling, hypothesis testing, and data exploration techniques
- Experience with cloud platforms (AWS, GCP, Azure), and a solid grasp of deployment workflows and infrastructure best practices
- Familiarity with containerization tools (e.g., Docker, Kubernetes)
- Ability to write clean, modular code and contribute to automated tests (unit, integration, and end-to-end)
- Comfortable working with relational and/or NoSQL databases
Responsibilities
- Develop and Maintain AI/ML Systems
- Cloud Operations and Deployment
- Technical Problem Solving
- Collaborate Across Functions
- Tooling and R&D Support
Other
- 2+ years of experience in software engineering, ML engineering, or data-focused development roles
- Exposure to deploying machine learning models or supporting AI/ML workloads in production environments
- Experience in client-facing roles or comfort working with external stakeholders
- Strong communication skills and a collaborative mindset, with the ability to engage effectively across internal teams and external client environments
