Machine Learning (ML) Ops Engineer in AI DATAVERSE

We are looking for a dedicated ML Ops Engineer to establish robust operations for our machine learning infrastructure. Requirements:- Proven experience in managing machine learning operations and infrastructure;- Strong knowledge in automating processes within a tech environment, especially with tools like GitHub Actions;- Expertise in Docker, Kubernetes, CI/CD systems (e.g., Jenkins), and MLOps tools (DVC, KServe);- Proficiency in Python and familiarity with machine learning frameworks such as PyTorch or TensorFlow;- Experience with cloud services and server management.Responsibilities: - Setup and manage infrastructure necessary for efficient ML model training; - Automate continuous integration/continuous deployment (CI/CD) pipelines;e datasets and ensure their integrity and availability for training; - Conduct experiments with RunPod; plan integration with BentoCloud and Oracle Cloud; - Write comprehensive tests to validate the functionality and security of ML models and infrastructure;- Lead the deployment of robust and secure AI-driven services;- Innovate in ML operations to support cutting-edge text and image generation technologies.Nice to Have:- Familiarity with Diffusers, Transformers, VLLM, ONNX, Triton, Torchserve, BentoML;- Knowledge of advanced computational technologies like SQL, Spark, and C++.Why join us?- Be a part of a pioneering team dedicated to redefining virtual companionship through advanced Generative AI;- Work in a stimulating environment that blends Natural Language Processing and Computer Vision to create unmatched user interactions;- Use state-of-the-art tools and technologies to build the next generation of AI platforms.