Design, train, and deploy AI models using Azure OpenAI, AWS, and Google to address business challenges such as fraud detection, customer insights, and process automation
Fine-tune large language models (LLMs) like GPT-5 or GPT-4o on Azure OpenAI for custom enterprise applications such as chatbots, summarization tools, or content generation
Build predictive models with minimal manual intervention
Develop and deploy scalable AI solutions on cloud platforms, leveraging built-in features such as model training, hosting, and monitoring
Implement automated workflows for model retraining and version control
Monitor deployed models to ensure performance, reliability, and scalability
Conduct proof-of-concept (PoC) projects to evaluate new AI tools or frameworks
Build and manage data pipelines on cloud services like Azure Synapse Analytics to prepare data for AI model training
Ensure data preprocessing, feature engineering, and storage in cloud-based data lakes, optimizing data flow for real-time AI applications
Collaborate with data engineering teams to integrate data from APIs for use in AI projects
Stay updated with the latest advancements in AI and machine learning technologies, tools, and frameworks
Document AI models, workflows, and deployment processes for reproducibility and knowledge sharing
Support cross-functional teams by providing technical expertise and AI-related insights
Implement best practices for data governance, ensuring compliance with data privacy and ethical AI standards.

Requirements

Bachelor’s degree in science, Information Systems, or a related field
2 + years of experience in AI tools and platforms like Azure OpenAI, AWS, or Google AI
2 + years of experience in fine-tuning large language models (LLMs) like GPT-4 or GPT-4o
2 + years of experience in building AI models
2 + years of experience in machine learning algorithms, deep learning frameworks or natural language processing (NLP) techniques
2 + years of experience in Python, R, or Java, with a focus on developing AI/ML models
1 + years of experience in cloud-based data storage, Azure SQL, DML, Stored procedure, Azure Synapse Analytics, and Azure Data Factory
1 + years of experience in RESTful APIs and their use in integrating AI solutions
Strong analytical and problem-solving skills to effectively analyze and interpret complex data sets, identify trends and patterns, and provide valuable insights to stakeholders
Good knowledge of data governance principles, ethical AI principles, data privacy regulations, and best practices for securing AI models and data
Familiarity with Agile and DevOps methodologies for software development and integration projects
Excellent verbal and written communication skills to effectively communicate complex technical concepts to both technical and non-technical stakeholders and collaborate with cross-functional teams.

Benefits

Health insurance
Florida Retirement System
Flexible work hours
Professional development opportunities

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills

AI model designfine-tuning large language modelspredictive modelingdata preprocessingfeature engineeringmachine learning algorithmsdeep learning frameworksnatural language processingPythonR

Soft skills

analytical skillsproblem-solving skillscommunication skillscollaborationtechnical expertise