SANDBX

AI/MLOps Engineer

Remote Kyiv, Ukraine
Kubernetes Docker Python Spark
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Description

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

SANDBX
SANDBX
Information Technology Software

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  • We prioritize job seekers as our customers, unlike bigger job sites, by charging a small fee to provide them with curated access to the best companies and up-to-date jobs. This focus allows us to deliver a more personalized and effective job search experience.
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  • We’d recommend checking EchoJobs daily, as we add new jobs to the site each day. Additionally, if you got a chance to read our previous email on “what makes EchoJobs different from any other job search tools,” we also recommended that you set a job alert based on your job filters, so if you get emails on those new jobs, you could be checking more than once per day.
  • If you decide to continue with us after the 1-month trial, we definitely recommend this, as we all know it usually takes 3-6 months to find a quality job as a software engineer these days. So to best support you, we just adjusted our membership options at EchoJobs to monthly, 3 months, or 12 months (this option is more for passive job seekers looking a little bit for the future if they want to come back to work or make a job switch potentially. This lets you see what’s out there in case an even better fit job becomes available.)
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