Machine Learning Engineer (MLOps) New

Description

Job Summary: We are seeking a Machine Learning Engineer with a strong foundation in MLOps to build, operate, and scale AI models in production, ensuring reliable, secure, and high-performance solutions. Key Highlights: 1. Build and maintain complete ML and LLM pipelines. 2. Implement MLOps practices for automation and monitoring. 3. Collaborate with AI Scientists to deliver production-ready solutions. NEORIS, now part of EPAM, is a Digital Accelerator helping enterprises take the next step toward the future. With over 20 years of experience as a digital partner to some of the world’s largest companies, we have more than 4,000 professionals across 11 countries, fostering a multicultural, startup-like culture that champions innovation and continuous learning to deliver high-value solutions for our clients. We believe diversity drives innovation. Therefore, all our opportunities are open to everyone, regardless of gender, race, age, identity, orientation, or ability. **Location:** Rio de Janeiro **Work Model:** On-site **Employment Type:** CLT + Benefits **Job Description** We are looking for a Machine Learning Engineer with solid expertise in MLOps to build, operate, and scale Artificial Intelligence models in production. This professional will ensure AI solutions operate reliably, securely, with observability and high performance—transforming experiments into real, sustainable products. **Responsibilities:** * Build and maintain end-to-end pipelines for training, versioning, testing, and deploying ML and LLM models. * Implement MLOps practices for automation, monitoring, and maintenance of models in production. * Manage environments, containers, GPUs, scalability, and resource orchestration. * Partner with AI Scientists to transform experiments into production-ready solutions. * Ensure model observability by monitoring drift, performance, cost, logs, and metrics. * Build experimentation infrastructure and standardize AI development workflows. * Support security, governance, and best practices throughout the model lifecycle. **Requirements:** * Experience with ML/MLOps pipelines, CI/CD, and tools such as Kubeflow, MLflow, Airflow, Vertex AI, or AWS SageMaker. * Proficiency in containers (Docker), Kubernetes, APIs, and Python. * Hands-on experience in cloud environments (AWS, GCP, or Azure). * Strong understanding of Machine Learning and LLM models. **We Offer:** * Meal Voucher and Food Allowance: Monthly benefits for food-related expenses, both at home and outside. * Private Pension Plan: Future planning with supplementary retirement contributions. * Health Insurance: High-quality medical coverage for you and your legal dependents. * Dental Insurance: Comprehensive dental care with an extensive provider network. * Life Insurance: Protection and security for you and your loved ones. * English/Spanish Classes: Incentives for language learning. * Wellhub: Benefits and discounts for gyms and wellness programs. * Childcare Assistance: Financial support for early childhood education expenses. * Neoris Global Campus: A development platform offering continuous learning and professional growth opportunities. We invite you to learn more about us at http://www.neoris.com, Facebook, LinkedIn, Twitter, or Instagram: @NEORIS. #LI-TL1