Note: The job is a remote job and is open 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 deploy AI/ML models with a focus on RAG pipelines and vector database integration
• Implement scalable training and inference workflows using AWS SageMaker
• Containerize and orchestrate ML workloads with Docker 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 related fields
• Strong expertise in Python and ML frameworks (TensorFlow, PyTorch, Hugging Face)
• Hands-on experience with RAG architectures and vector databases (e.g., Pinecone, Weaviate, FAISS)
• Proven track record deploying ML models on AWS SageMaker
• Deep knowledge of Kubernetes and Docker for container orchestration
• Solid understanding of MLOps practices, cloud infrastructure, and distributed systems
• Excellent problem-solving and communication skills
Company Overview
• Drillo is an AI venture studio partnering with startups, scale-ups, and enterprises to accelerate innovation through artificial 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 Now
Apply Now