Junior Machine Learning Engineer

Job Summary Our Financial Services client is seeking a Machine Learning Engineer to support AI/ML initiatives related to enterprise model development, operational support, and cloud-based machine learning delivery efforts. This role will assist in the development, testing, deployment, and maintenance of machine learning solutions supporting both business-as-usual operations and strategic AI programs. The ideal candidate will have experience working within Azure environments and supporting machine learning workflows in collaborative engineering teams. Core Responsibilities Design, develop, and maintain AI/ML platform and MLOps infrastructure, supporting deployment, management, and monitoring of ML models, LLMs, and AI-driven services. Collaborate with data scientists, ML engineers, and software engineers to ensure seamless integration of AI and machine learning capabilities into production applications. Support and maintain automated workflows and pipelines for model training, inference, evaluation, retraining, deployment, and monitoring, including prompt-based and API-driven AI systems. Troubleshoot and help resolve issues across models, data pipelines, inference services, and supporting infrastructure. Help ensure scalability, security, cost controls, and observability across ML and AI workloads, including monitoring for drift, latency, failures, and compliance with data security and privacy requirements. Contribute to and maintain process and operational documentation and stay current on trends and best practices in MLOps, LLMOps, and AI platform operations. Support CI/CD processes and deployment workflows using GitHub. Build and maintain ML workflows within Databricks environments. Utilize Azure AI Foundry and Azure AI services to support model lifecycle activities. Assist with document processing and extraction workflows using Azure Document Intelligence. Participate in troubleshooting, model validation, testing, and optimization activities. Required Skills/Experience (Must-Haves) 2+ years of experience in Machine Learning Engineering, Data Engineering, or AI-focused development. Experience working within Microsoft Azure environments. Strong working proficiency in Python, with applied experience using dynamically typed, object-oriented programming patterns. Practical experience working across multiple programming languages, such as Python alongside JavaScript, TypeScript, or .NET, in production systems. Hands‑on experience supporting AI/ML platforms, including deployment and operation of ML models and LLM-based services. Working knowledge of MLOps, LLMOps, and AIOps practices, including monitoring, retraining workflows, and model/prompt lifecycle management. Experience implementing or maintaining CI/CD pipelines for ML and AI workloads. Familiarity with cloud native architectures, storage, compute, and networking fundamentals. Experience with data pipelines, transformations, and performance monitoring. Understanding of machine learning model development and deployment concepts. Strong analytical and problem‑solving skills. Ability to work collaboratively within Agile teams. Experience with Azure AI Foundry. Experience with Azure Document Intelligence. Experience with Databricks. Experience with GitHub and CI/CD concepts. Preferred Skills/Experience (Nice-to-Haves) Exposure to enterprise AI/ML initiatives. Exposure to Palantir or enterprise analytics platforms. Key Competencies & Behaviors Collaborative. Problem‑Solving. Ownership and Operational Reliability. Continuous Learning and Adaptability. Work Environment Fully remote. CST hours preferred. Location Fully remote. CST hours preferred. Compensation & Benefits Pay Range: $60.00 - $75.00. Medical, Dental, & Vision Insurance Plans. Employee-Owned Profit Sharing (ESOP). 401K offered. This position is W-2 only. We do not work with third-party firms or C2C arrangements for this role. We comply with local wage minimums. #J-18808-Ljbffr