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AI Operations Engineer
2 months ago
About Us
At My AI Path, we are collaborating with a pioneering organization dedicated to creating the world's foremost commercially viable, secure, and sophisticated humanoid robots. Our goal is to integrate these robots into everyday life, thereby enhancing human capabilities.
This visionary company is committed to harnessing the power of artificial intelligence to forge a future where humans and machines work in harmony, leading to advancements in knowledge, creativity, and extraordinary breakthroughs. The evolution of functional humanoid robots is anticipated to herald a new age of prosperity and well-being, eliminating poverty and empowering individuals to pursue their own paths, ultimately fostering a society where universal basic income becomes a reality.
Your Role
We are in search of skilled professionals to join this thrilling initiative and contribute to driving these transformative innovations forward.
Key Responsibilities
- Oversee the complete lifecycle of AI/ML models, from conception through deployment and ongoing monitoring.
- Guarantee the dependability, scalability, and security of AI/ML infrastructure.
- Apply best practices for version control, testing, and continuous integration/continuous deployment (CI/CD) for AI/ML models.
- Diagnose and resolve challenges related to AI/ML model performance and infrastructure.
- Remain informed about the latest developments in AI/ML operations, tools, and best practices.
- Offer technical support and direction to data scientists and other team members regarding AI/ML Ops methodologies.
- Maintain thorough documentation for AI/ML infrastructure, processes, and best practices.
Required Expertise
- Demonstrated experience as an AI/ML Ops Engineer or in a comparable position, with a solid grasp of AI/ML lifecycle management.
- Proficiency in programming languages such as Python, along with experience in AI/ML frameworks (e.g., TensorFlow, PyTorch).
- Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure) and containerization tools (e.g., Docker, Kubernetes).
- Strong understanding of CI/CD pipelines, automation tools, and version control systems (e.g., Git).
- Knowledge of data engineering principles, including data pipelines, ETL processes, and big data technologies.
- Exceptional problem-solving abilities and the capacity to troubleshoot intricate issues in AI/ML systems.
- Excellent communication and collaboration skills, with the ability to function effectively in cross-functional teams.
- Awareness of security best practices for AI/ML models and data.
What We Offer
- Highly competitive salary.
- 28 calendar days of vacation annually.
- Flexible working hours.
- Opportunity to engage with cutting-edge technologies in AI, Robotics, EdTech, MedTech, and beyond.
- A startup model that provides a dynamic and innovative work environment.
