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ML Systems Engineer

2 months ago

London, Greater London, United Kingdom My AI Path Full time

About Us

At My AI Path, we are collaborating with a pioneering organization dedicated to creating the most advanced and commercially viable humanoid robots. Our mission is to integrate these robots into everyday life, enhancing human capabilities and experiences.

This visionary company recognizes the transformative power of artificial intelligence, aiming to build a future where humans and machines work together harmoniously. The development of functional humanoid robots is anticipated to lead to a prosperous society, eliminating poverty and allowing individuals to pursue their passions freely, ultimately paving the way for universal basic income.

Your Role

We are looking for skilled professionals to join us in this thrilling journey and contribute to groundbreaking advancements.

Key Responsibilities

  • Oversee the complete lifecycle of AI/ML models, from inception through deployment and ongoing monitoring.
  • Guarantee the dependability, scalability, and security of AI/ML infrastructure.
  • Adopt 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.
  • Keep abreast of the latest developments in AI/ML operations, tools, and best practices.
  • Offer technical support and expertise to data scientists and 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 services (e.g., AWS, Google Cloud, Azure) and containerization technologies (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 teamwork skills, with the ability to collaborate effectively in cross-functional groups.
  • Awareness of security best practices for AI/ML models and data.

What We Offer

  • Highly competitive compensation.
  • 28 days of annual leave.
  • Flexible working hours.
  • Opportunity to engage with cutting-edge technologies in AI, Robotics, EdTech, MedTech, and beyond.
  • A dynamic and innovative work environment modeled after a startup.