[Remote] Junior Machine Learning Engineer

Note: The job is a remote job and is open to candidates in USA. KellyMitchell Group is seeking a Junior Machine Learning Engineer to support AI/ML initiatives for a Financial Services client. The role involves assisting in the development, testing, deployment, and maintenance of machine learning solutions, while collaborating with various engineering teams to integrate AI capabilities into production applications.

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

Skills

• 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
• Azure AI Foundry
• Azure Document Intelligence
• Databricks
• GitHub and CI/CD concepts
• Exposure to enterprise AI/ML initiatives
• Exposure to Palantir or enterprise analytics platforms is a plus

Benefits

• Medical, Dental, & Vision Insurance Plans
• Employee-Owned Profit Sharing (ESOP)
• 401K offered

Company Overview