AI/ML Engineer

Title : AI/Ml Engineer

Location : Nashville TN Onsite

Duration Long Term

Job Overview:

We are looking for a skilled AI/ML Engineer with expertise in Databricks, Azure, OpenAPI, MLOps, and Prompt Engineering to develop, deploy, and optimize machine learning models. The ideal candidate will have experience in building AI-driven applications, working with large datasets, and implementing scalable ML solutions in cloud environments.

Key Responsibilities:

• Design, develop, and deploy AI/ML models on Databricks and Azure ML.
• Implement MLOps best practices, including CI/CD pipelines for ML model deployment.
• Work with OpenAPI to integrate ML models with applications and services.
• Develop LLM-based applications and optimize prompt engineering for AI models.
• Fine-tune and optimize large language models (LLMs) for various business applications.
• Build and manage data pipelines for training, testing, and deploying ML models.
• Ensure scalability, security, and performance of AI models in production.
• Monitor, troubleshoot, and improve model performance using A/B testing and retraining strategies.
• Collaborate with data scientists, engineers, and business stakeholders to align AI solutions with business needs.
• Stay up to date with the latest advancements in AI/ML, MLOps, and cloud technologies.

Required Skills & Qualifications:

• 5+ years of experience in AI/ML Engineering with a focus on MLOps and cloud-based ML solutions.
• Hands-on experience with Databricks, Azure ML, and Azure Cognitive Services.
• Proficiency in Python, TensorFlow, PyTorch, Scikit-learn, and ML frameworks.
• Strong understanding of MLOps, CI/CD, and model lifecycle management.
• Experience working with OpenAPI for model integration and deployment.
• Expertise in LLMs, NLP, and prompt engineering for AI applications.
• Experience with Kubernetes, Docker, and containerized ML deployments.
• Familiarity with data engineering tools like Spark, Delta Lake, and ETL pipelines.
• Strong problem-solving skills and ability to work in fast-paced AI/ML projects.

Preferred Qualifications:

• Azure AI Engineer Associate or Databricks ML Practitioner certification.