Remote AI/ML Architect

Description:

• The AI/ML Architect position at BambooHR is a remote role available in specific states.
• Employment is contingent on passing both a background and credit check.
• The role involves working with a talented team to architect and engineer AI platform services and features.
• Responsibilities include architecting, designing, and implementing scalable AI/ML systems across cloud and on-premise environments.
• The architect will design advancements in architecture to enhance software and AI/ML pipelines.
• The position requires defining architectural changes that can be implemented incrementally while minimizing risk.
• Collaboration with various stakeholders is essential to determine architectural priorities, particularly in AI model deployment and MLOps workflows.
• The architect will build, fix, and improve code for high-value AI/ML services and APIs.
• Training team members on AI/ML practices and techniques is part of the role.
• The architect will define and evolve model governance, monitoring, drift detection, and re-training workflows.
• Advocacy for security and ethical AI practices in compliance with OWASP ML Top 10 and relevant standards is required.

Requirements:

• A Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field, or equivalent industry experience is required.
• At least 7 years of software engineering experience, with a minimum of 3 years in building and architecting analytical software systems using AI and ML.
• Experience in developing software using various languages, including Python, Clojure, SQL, and the ability to quickly learn new languages is necessary.
• Strong knowledge and experience with data platforms, machine learning frameworks, and generative AI tooling such as Databricks, Scikit-learn, TensorFlow, PyTorch, and OpenAI/Anthropic LLMs is required.
• Experience in designing and deploying ML models to production and optimizing MLOps practices is essential.
• Familiarity with the full lifecycle of software and AI/ML development, including version control, build management, unit testing, CI/CD, API paradigms, and model versioning is needed.
• Exceptional communication and collaboration skills, particularly with cross-functional teams of data scientists and engineers, are required.
• The ability to give and receive constructive feedback tactfully and effectively is necessary.
• Knowledge of responsible AI and security best practices, including OWASP Top 10 and OWASP ML Top 10, is required.
• Expertise in deploying and scaling containerized, distributed software and AI systems using tools such as Kubernetes is essential.
• Foundational skills in math and statistics that underlie ML are necessary.
• Depth in using LLMs, including training, fine-tuning, and evaluation, along with a historical background in traditional NLP tools is required.
• Experience in SOA, Modular Monolith Architecture, and distributed systems for AI training and inference is necessary.
• Familiarity with static analysis, code scanning, and ML-specific monitoring tools is required.
• Familiarity with data engineering and data governance principles is necessary.

Benefits:

• BambooHR offers a great company culture recognized by multiple organizations.
• Comprehensive health, life, and disability insurance is provided.
• Generous leave policies include 4 weeks of vacation, 12 company holidays, parental leave, and volunteer time off.
• A 401k plan with up to a 6% company match is available.
• Employees receive a $2000 Paid-Paid Vacation bonus.
• An Employee Assistance Program (EAP) through Headspace is offered.
• Additional benefits can be found on the BambooHR careers page.