Key skills
CloudDockerKubernetesAIArtificial IntelligenceMachine LearningMLAgenticAnalyticsCI/CD
About this role
Role Overview
- Design and implement advanced AI and machine learning solutions
- Analyze intricate challenges and provide actionable insights
- Mentor and guide junior team members in their professional development
- Cultivate meaningful relationships with clients to understand their needs
- Navigate the rapidly changing technology landscape effectively
- Enhance personal knowledge and contribute to team insights
- Collaborate with cross-functional teams to deliver exceptional outcomes
- Uphold professional standards and ethical practices in every engagement
Requirements
- Bachelor's Degree in Computer Science, Data Science, Software Engineering, Mathematics, Statistics, or a related quantitative field
- At least 3 years of professional experience developing AI/ML systems, building full-stack applications, or integrating AI into software products
- Master's Degree in Computer Engineering, Computer Science, Artificial Intelligence and Robotics, Data Processing/Analytics/Science, or Software Engineering preferred
- Experience with LLMs, prompt engineering, and orchestration tools
- Experience with multi-agent frameworks and agentic AI patterns
- Proficiency with Docker, Kubernetes, and cloud-native architectures
- Experience with CI/CD for ML systems and model monitoring
- Experience with vector databases and embedding models
- Track record of fine-tuning models on domain-specific data
- Experience processing and managing data pipelines
- Contributions to open-source AI/ML projects or hackathons
Tech Stack
- Cloud
- Docker
- Kubernetes
Benefits
- medical
- dental
- vision
- 401k
- holiday pay
- vacation
- personal and family sick leave
- annual discretionary bonus