MLOps Engineer (AI)

MLops Engineer

Company

Velvetech

Conditions

Full-time Middle 🌎 World 💻 Development 🏠 Remote Job description

Position overview

We are seeking an experienced MLOps Engineer with deep expertise in cloud services such as Azure ML and AWS SageMaker , providing end-to-end MLOps operations and services. The successful candidate will cover the entire ML lifecycle , including developing/writing pipelines for model development, preparing training data, training models, deploying models , and monitoring and testing models in production. Additionally, this role requires LLMOps experience, particularly in deploying open-source LLM models such as Llama, Mistral, R1. This role will also involve experimenting with different ML/LLM models, calculating and monitoring evaluation metrics, and providing the best AI solutions for various marketplace-related tasks, such as product category classification, product data enrichment, dynamic price optimization, price and demand forecasting,

Technologies

• MLOps and Cloud Services – Azure ML Studio, AWS SageMaker, MLflow, Databricks
• Containerization and Orchestration – Docker, Kubernetes
• Model Monitoring and Deployment – BentoML, Ollama, Hugging Face
• LLMOps Tools and Libraries – vLLM, LiteLLM, LangChain, Langfuse
• CI/CD and Workflow Automation – Gitlab, Azure DevOps

Responsibilities

• MLOps and ML Lifecycle Management: Develop and optimize MLOps pipelines for scalable model development and deployment. Automate model training, deployment, monitoring, and testing workflows. Manage data pipelines , ensuring efficient training data preparation. Implement model performance tracking and versioning using MLflow
• LLMOps and Large-Scale AI Deployments: Deploy and fine-tune open-source LLM models for various business use cases. Utilize vLLM, LiteLLM, BentoML, Ollama for optimized LLM inference and deployment. Monitor and evaluate LLM performance across different metrics including latency, accuracy, and cost-effectiveness
• AI Solutions for Marketplace Optimization: Develop AI-based solutions for product category classification and product data enrichment. Implement dynamic price optimization models and forecast price and demand trends. Build AI systems to select optimal recommerce channels for selling products, based various business factors, including price seasonality and inventory costs.

Requirements

• MLOps expertise: End-to-end ML pipelines (Azure ML, AWS SageMaker, MLflow), Docker, Kubernetes, CI/CD for ML.
• LLMOps experience: Deploying open-source LLMs (Llama, Mistral, R1), optimizing LLM inference, RAG, fine-tuning.
• Software engineering: Python, ML frameworks (PyTorch, TensorFlow), microservices, data pipelines.
• Problem-solving: Evaluating and fine-tuning ML/LLM models, tracking metrics, optimizing AI solutions.
• This position offers a unique opportunity to work at the intersection of MLOps, LLMOps, and AI-driven business solutions
• If you have the technical depth and passion for building scalable, production-grade AI solutions, we encourage you to apply!

Benefits

• Velvetech is in the TOP 5 development companies in Illinois, USA
• You have FLEXIBLE working conditions and a COOPERATIVE environment
• Competitive salary
• Many CHALLENGING and exciting projects with new opportunities and learning
• GROWTH opportunities, skills and competencies improvement, and professional certification
• In-company TRAINING (English, Software / DevOps / Project management / Design / Business)

Our team

We are a friendly team of 150+ professionals where everyone is able to achieve high results and grows professionally not only due to their own knowledge and skills but also with the support of colleagues. Values that we highly appreciate are high performance, responsibility, respect, and loyalty. In order to have a highly motivated team, Velvetech invests in their people, additional education, certification, and others. You choose your career path and we are here to support you! People work together in harmony, encouraging each other to continuously learn, progress, and pursue perfection. Our employees enjoy working as we turn challenges into advantages to share success with each other. You have a chance to become a part of a friendly and professional team that creates robust software solutions to deliver maximum value to our international clients! Apply for this job Please mention "I found this job at Remocate!"

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