Engineering Structures Impact Factor Jobs in Bay County Florida Remote
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Artificial Intelligence (AI) Engineer
Salary not disclosed
Summary: Location: Melbourne, FL Duration: 12 Months Hybrid: 2-3 days per week in office; local candidates Working Hours: 8am
- 5pm Responsibilities: Evaluate machine learning processes and select appropriate models.
Collect and analyze large datasets to train AI models.
Develop and deploy AI algorithms and systems.
Collaborate with cross-functional teams to establish goals for AI processes.
Test and validate AI models to ensure accuracy and effectiveness.
Manage data and project infrastructure.
Stay updated on the latest AI developments and technologies.
Requirements: Master's degree in Computer Science, Engineering, or a related field.
Proven experience as an AI Engineer or in a similar role.
Strong programming skills in languages such as Python, R, or Java.
Experience with machine learning frameworks and libraries.
Excellent analytical and problem-solving abilities.
Effective communication and collaboration skills.
Required Skills: Advanced Python CI/CD CNNs, RNNs, Transformers Docker Container Docker Swarm Kubernetes LLM REST, gRPC Vector database Preferred Skills: Strong Large Language Model (LLM) expertise including prompt engineering, embeddings, and context management.
Proven ability to design and implement production-grade LLM solutions such as RAG pipelines, agents, and tool/function-calling systems.
Experience owning the end-to-end ML lifecycle, including CI/CD, deployment, monitoring, versioning, and performance/cost optimization.
Strong Python skills with experience building scalable, testable APIs and services that integrate ML/LLM models into enterprise systems.
Hands-on experience with AWS, Azure, or GCP, including containerization (Docker), orchestration (Kubernetes), and GPU-based ML workloads.
- 5pm Responsibilities: Evaluate machine learning processes and select appropriate models.
Collect and analyze large datasets to train AI models.
Develop and deploy AI algorithms and systems.
Collaborate with cross-functional teams to establish goals for AI processes.
Test and validate AI models to ensure accuracy and effectiveness.
Manage data and project infrastructure.
Stay updated on the latest AI developments and technologies.
Requirements: Master's degree in Computer Science, Engineering, or a related field.
Proven experience as an AI Engineer or in a similar role.
Strong programming skills in languages such as Python, R, or Java.
Experience with machine learning frameworks and libraries.
Excellent analytical and problem-solving abilities.
Effective communication and collaboration skills.
Required Skills: Advanced Python CI/CD CNNs, RNNs, Transformers Docker Container Docker Swarm Kubernetes LLM REST, gRPC Vector database Preferred Skills: Strong Large Language Model (LLM) expertise including prompt engineering, embeddings, and context management.
Proven ability to design and implement production-grade LLM solutions such as RAG pipelines, agents, and tool/function-calling systems.
Experience owning the end-to-end ML lifecycle, including CI/CD, deployment, monitoring, versioning, and performance/cost optimization.
Strong Python skills with experience building scalable, testable APIs and services that integrate ML/LLM models into enterprise systems.
Hands-on experience with AWS, Azure, or GCP, including containerization (Docker), orchestration (Kubernetes), and GPU-based ML workloads.
Not Specified
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