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 • Assist in the design, development, and maintenance of 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 AIfocused 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 • Familiarity with: • Azure AI Foundry • Azure Document Intelligence • Databricks • GitHub and CI/CD concepts Preferred Skills/Experience (Nice-to-Haves) • Exposure to enterprise AI/ML initiatives • Exposure to Palantir or enterprise analytics platforms is a plus Key Competencies & Behaviors • Collaborative Problem-Solving • Ownership and Operational Reliability • Continuous Learning and Adaptability Work Environment • Location: Fully remote • CST hours preferred Compensation & Benefits • Pay Range: The approximate pay range for this position is between $60.00 and $75.00. Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums. • 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. About KellyMitchell At KellyMitchell, our culture is world class. We're movers and shakers! We don't mind a bit of friendly competition, and we reward hard work with unlimited potential for growth. This is an exciting opportunity to join a company known for innovative solutions and unsurpassed customer service. We're passionate about helping companies solve their biggest IT staffing & project solutions challenges. As an employee-owned, women-led organization serving Fortune 500 companies nationwide, we deliver expert service at a moment's notice. Marketing Disclosure By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from KellyMitchell and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates