AI/ML Engineer Position Available In Davidson, Tennessee
Tallo's Job Summary: The AI/ML Engineer position in Nashville, TN involves developing, deploying, and optimizing machine learning models using Databricks, Azure, and OpenAPI. Responsibilities include designing AI/ML models, implementing MLOps best practices, and collaborating with stakeholders. Required qualifications include 5+ years of AI/ML engineering experience, proficiency in Python and ML frameworks, and expertise in MLOps and cloud-based solutions. Preferred qualifications include Azure AI Engineer Associate or Databricks ML Practitioner certification.
Job Description
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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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Dice Id:
10125806
Position Id:
8645582
