MLOps Engineer

Join Velvetech as an MLOps Engineer to manage end-to-end ML operations, deploying LLM models and optimizing AI solutions for marketplace tasks. Enjoy flexible conditions and growth opportunities in a supportive team. 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.

• •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.

• •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.

• •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 on various business factors, including price seasonality and inventory costs.

• •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).

• •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.

• •End-to-end ML pipelines (Azure ML, AWS SageMaker, MLflow), Docker, Kubernetes, CI/CD for ML.

• •Deploying open-source LLMs (Llama, Mistral, R1), optimizing LLM inference, RAG, fine-tuning.

• •Python, ML frameworks (PyTorch, TensorFlow), microservices, data pipelines.

• •Evaluating and fine-tuning ML/LLM models, tracking metrics, optimizing AI solutions.