- Modernize Workflows: Advance the orchestration layer and UI with generative AI capabilities and self-serve tooling to democratize AI development through governed, low-code/no-code tools for business domain experts.
- Build Agentic-Driven Infrastructure: Modernize our platform services with agentic infrastructure that is reliable, scalable, secure, and seamlessly adheres to enterprise guardrails.
- Drive AutoML Innovation: Scale enterprise-grade managed AutoML offerings for tabular and time-series data to radically reduce solution time-to-market from weeks to days.
- Engineer AI-Driven Controls: Evolve the core component marketplace by engineering cutting-edge, automated governance frameworks.
Requirements
- Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies
- At least 6 years of experience programming with Python, Go, Scala, or Java
- 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)
- Experience designing, developing, integrating, delivering, and supporting complex AI systems
- Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders
- Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang
- Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost
- Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers.
Core Competencies
Expertise in developing and deploying AI and ML algorithms, with a strong focus on scalable solutions and cloud platforms. Proven ability to lead engineering teams and communicate complex AI concepts effectively.
Highest-signal resume keywords
- AI And ML Algorithm Development
- Cloud Platform Deployment (AWS, Google Cloud, Azure)
- Python Programming
- Team Leadership And Mentoring
- AutoML Innovation
ATS Optimization Keywords
Hard Skills
- AI Algorithm Development
- ML Algorithm Development
- Python Programming
- Go Programming
- Scala Programming
- Java Programming
- C++ Programming
- C# Programming
- AutoML Techniques
- Optimizing Training And Inference Software
Soft Skills
- Excellent Communication Skills
- Presentation Skills
Industry Keywords
- AI Development
- ML Development
- Scalable AI Solutions
- Complex AI Systems
- Enterprise Guardrails
Tools & Technologies
- Cloud Platforms
- Low-Code/No-Code Tools
- Generative AI Capabilities
- Agentic Infrastructure
- Automated Governance Frameworks