MLops Engineer

Velvetech is an American global software development company headquartered in Miami, FL, and with an office in Chicago, IL. Velvetech has its developers strategically distributed in 10+ global technical job markets to deliver the best in class software engineering and exceptional client services.

We have 20+ years of experience in software and hardware development for clients all around the world, especially for US clients. As an official Microsoft Gold Partner, our company is listed in the top 5 software development companies in Illinois, USA.

US clients are leading trading and financial organizations, insurance companies, large healthcare associations, pharmaceutical and energy companies, equipment manufacturers, hi-tech startups, etc.

Areas of expertise are consulting, development, implementation, and support of software solutions. We implement modern backend solutions that support microservices architecture with the following technologies: NET Core, Node.js, Java, SQL Server, PostgreSQL, MongoDB, Redis, RabbitMQ. For the web UI front-end development, we opt for React, or Angular, and for mobile development — Swift, Kotlin, Java. Most of the systems are designed for cloud infrastructures like AWS, Azure, GCP, and heavily rely on Docker, Kubernetes while modern CI/CD is made using GitLab CI or TeamCity. In September 2021, Velvetech LLC received the status of the official Training Provider of the International Institute of Business Analysis. This status gives us the right to conduct regular quality trainings for Business Analysts and anyone performing BA activities regardless their job title.

Principles are based on Agile Methodology, Scrum and Kanban. Various projects coded in GitLab or GitHub are built with multiple coordinated teams, collaborating via Jira, Confluence, MS Teams, and Slack. Velvetech constantly follows the Tech trends and actively cooperates with startups in such breakthrough areas as Machine Learning, the Internet of Things, Blockchain, FPGA, and AI.

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

• • • 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)