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.