MLops Engineer

6 708 – 11 500 $

на 132% выше медианы рынка

≈ 580,8 тыс.–995,8 тыс. ₽

🌍 УдалённоMiddleПолная занятость🌐 Глобал

6 708 – 11 500 $≈ 580,8 тыс.–995,8 тыс. ₽

Платят на 157% выше медианы грейда.

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Наша компания

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!

Чем предстоит заниматься

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

Наши требования

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!

Мы предлагаем

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)

Дополнительно

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

Velvetech

ГрейдMiddle

ЗанятостьПолная занятость

ФорматУдалённо

ИсточникСкрыто

Опубликовано16 авг.

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