AI Automations Cloud Deployment Engineer responsible for designing, deploying, and optimizing cloud-based AI and machine learning solutions. Collaborates with cross-functional teams to implement scalable infrastructure and MLOps pipelines.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related field
- 10+ years of experience in cloud engineering or AI/ML solution development
- Certification in AWS or Azure and their AI/ML services
- Strong understanding of MLOps principles and tools
- Hands-on experience with containerization (Docker) and orchestration (Kubernetes)
- Proficiency in programming languages such as Python, Java, or C++
- Master’s degree and experience with generative AI technologies and frameworks preferred
- Familiarity with infrastructure-as-code tools such as Terraform or CloudFormation preferred
- Strong communication, problem-solving, and collaboration skills
Benefits
- Competitive salary range ($124,000 – $250,000 USD)
- Comprehensive healthcare coverage including medical, dental, and vision
- Retirement benefits and 401(k) match
- Paid time off, parental leave, and flexible work schedules
- Wellness programs and educational assistance
- Remote work flexibility with opportunities for professional development
- Inclusive, people-first culture that values diversity, equity, and innovation