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.

● 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