AI/MLOps Engineer

About Us:

At Apolo, we're committed to simplifying AI/ML operations for organizations. By addressing the
deployment challenges of AI/ML in varied environments, we provide cost-effective and
hassle-free solutions. Our managed services and comprehensive tools allow businesses to
focus on their core objectives, ensuring seamless AI adoption and innovation without the

operational complexity.

The Role:
We are looking for an AI/MLOps Engineer who will be crucial in managing and evolving our
product deliverables. This role requires technical expertise, and a proactive mindset eager to
research and try new technologies. Ideal candidates are resourceful, excel in problem-solving,
and capable of working autonomously with minimal supervision.

Requirements

• Understanding of ML-driven projects lifecycle
  ● Knowledge and hands-on experience with Kubernetes, Containerd / Docker, Helm,
  CI/CD practices, particularly with GitHub Actions
  ● Basic understanding of MLOps best practices (data and model versioning, experiment

tracking, reproducibility, etc.)

• Proficient in Python for scripting, automation and integration
  Desirable Skills:
  ● Networking including TCP/IP, DNS, load balancing and requests routing to ensure
  secure and efficient network operations
  ● Experience with Pachyderm, DVC, KubeFlow, Spark, MLFlow, Seldon or their
  alternatives
  ● Experience with LLM deployment at scale

Responsibilities:
● Build complex automated reproducible pipelines for the entire ML project lifecycle,
including data management, experimentation, model training, deployment and

monitoring in production

• Build reusable integrations and applications for each stage of the ML project lifecycle
  ● Monitor the MLOps tools/approaches landscape to actively identify solutions for various
  domain problems
  ● Participate in the development of MLOps platform services
  ● Communicate with end users to understand their pain points
  ● On-board end users to the MLOps platform

Benefits

What We Offer:

• Work remotely, ensuring time zones align for effective collaboration.
  ● Shape the product's direction and success by taking ownership of essential components.
  ● Solve complex and innovative challenges.
  ● Join a supportive and dynamic team environment.
  ● Receive a competitive salary and benefits package.