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. 
  
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