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.