AI/MLOps Engineer in apolo.us

Location: Remote

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.

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

Qualifications:

• 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 MLOps tools like: Pachyderm, DVC, KubeFlow, Spark, MLFlow, Seldon or their alternatives
• Experience with LLM deployment at scale

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.