The company is looking to architect and scale its AI platform services, new AI features, and AI/ML systems for the future.
Requirements
- Experience developing software utilizing various languages, including Python, Clojure, SQL, and/or the ability to pick up new languages quickly
- Strong knowledge and experience using data platforms, machine learning frameworks, and generative AI tooling such as Databricks, Scikit-learn, TensorFlow, PyTorch, OpenAI / Anthropic LLMs, agentic frameworks
- Experience designing and deploying ML models to production and optimizing MLOps practices
- Experience with the full lifecycle of software and AI/ML development, including version control, build management, unit testing, CI/CD, API paradigms, and model versioning
- Expertise in deploying and scaling containerized, distributed software and AI systems using tools such as Kubernetes
- Foundational skills in math and statistics that underlie ML
- Depth in using LLMs, including training, fine-tuning, and evaluation
Responsibilities
- Architect, design, and implement scalable AI/ML systems across cloud and on-premise environments
- Design advancements in architecture that move software and AI/ML pipelines forward
- Define architectural changes that can be implemented incrementally, while minimizing risk
- Build, fix, and improve code, especially high-value AI/ML services and APIs
- Train team members on AI/ML practices, new techniques, and past mistakes
- Define and evolve model governance, monitoring, drift detection, and re-training workflows
- Advocate for security and ethical AI practices in compliance with OWASP ML Top 10 and relevant standards
Other
- Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or related field or equivalent industry experience
- At least 7 years of software engineering experience with at least 3 of those years building and architecting analytical software systems using AI and ML
- Exceptional communication and collaboration skills, including cross-functional teams of data scientists and engineers
- Ability to tactfully and effectively give and receive concrete feedback
- Knowledgeable in responsible AI and security best practices, including OWASP Top 10 and OWASP ML Top 10
