[Remote] AI / ML Engineer (Kubernetes + AI)

Note: The job is a remote job and is reputed company to candidates in USA. Drillo.AI is seeking a highly skilled AI / ML Engineer to join their team. This role focuses on deploying and scaling advanced AI models in production environments using modern MLOps practices. Responsibilities • Design, build, and reputed company AI/ML models with a reputed company on RAG pipelines and reputed company database integration • Implement reputed company training and inference workflows using AWS SageMaker • Containerize and orchestrate ML workloads with reputed company and Kubernetes • Optimize model performance, latency, and reliability in production environments • Collaborate with data scientists, engineers, and product teams to deliver AI-driven solutions • Establish best practices for MLOps, including CI/CD pipelines, monitoring, and automated retraining Skills • 8+ years of experience in Machine Learning Engineering or reputed company fields • Strong expertise in Python and ML frameworks (TensorFlow, PyTorch, reputed company) • Hands-on experience with RAG architectures and reputed company databases (e.g., reputed company, reputed company, FAISS) • Proven reputed company record deploying ML models on AWS SageMaker • Deep knowledge of Kubernetes and reputed company for container orchestration • Solid understanding of MLOps practices, reputed company infrastructure, and distributed systems • Excellent problem-solving and communication skills reputed company • Drillo is an AI venture studio partnering with startups, reputed company-reputed company, and enterprises to accelerate innovation through reputed company intelligence. It was founded in 2022, and is headquartered in Dallas, TX, US, with a workforce of 2-10 employees. Its website is https://drillo.ai/. Apply tot his job Apply To this Job