Brightly is seeking an exceptional leader to drive our artificial intelligence and machine learning strategy. This is a pivotal role for an experienced professional who can bridge the gap between powerful technical innovation and strategic business execution.
Requirements
- Minimum 8+ years of hands-on machine learning and AI experience, with at least 4+ years in leadership roles
- Deep expertise in supervised/unsupervised learning, deep learning, reinforcement learning, and statistical modeling
- Extensive experience with transformer architectures, attention mechanisms, large-scale neural networks, and model optimization techniques
- Proven experience with generative models including Large Language Models (LLMs), diffusion models, GANs, VAEs, and multimodal AI systems
- Proficiency in Python, R, SQL, and familiarity with languages like Java, Scala, or Go
- Extensive experience with TensorFlow, PyTorch, scikit-learn, and other ML/AI frameworks
- Hands-on experience with AWS, Google Cloud, or Azure ML services and infrastructure
Responsibilities
- AI/ML Strategy Development: Define and implement the company's long-term AI and machine learning strategy, aligning technical capabilities with business objectives
- System Architecture: Design and oversee the implementation of scalable, robust ML/AI infrastructure and platforms
- Technology Evaluation: Research, evaluate, and recommend emerging AI technologies, frameworks, and methodologies
- Standards & Best Practices: Establish ML engineering standards, model governance frameworks, and ethical AI guidelines
- Innovation Leadership: Drive research initiatives and explore modern applications of AI/ML technologies
- Model Development: Oversee end-to-end ML model lifecycle from research and development to production deployment
- Platform Development: Build and maintain ML platforms, tools, and infrastructure for model training, deployment, and monitoring
Other
- Proven track record of building and scaling ML/AI teams from ground up
- Partner with product, engineering, and business teams to identify AI opportunities and deliver integrated solutions
- Present technical strategies and progress to executive leadership and board members
- Manage department budget, resource allocation, and vendor relationships
- Set team goals, conduct performance reviews, and foster professional development
