Job Description

Job Description
Title: Artificial Intelligence (AI) Engineer III (2316)/n /n

Location:
Melbourne, Florida/n /n Openings: 1/n /n Work Model: Hybrid, 2
- 3 days in office/n /n

Job Type
Contract/n /n Duration: 1 Year/n /n Rate: $61/hour (W2) + Advantages/n /n Hours: 40 hours/week, 8
- 5 /n /n Project: Technology Division /n /n Position Summary:/n /n /n An AI (Artificial Intelligence) Engineer develops and trains AI models to automate processes and solve complex problems. They design and implement AI systems, ensuring they function effectively and align with business objectives. /n /n

Responsibilities:
/n /n /n
- Evaluate machine learning processes and select appropriate models. /n
- Collect and analyze large datasets to train AI models. Develop and deploy AI algorithms and systems. /n
- Collaborate with cross functional teams to establish goals for AI processes. /n
- Test and validate AI models to ensure accuracy and effectiveness. Manage data and project infrastructure. /n
- Stay updated on the latest AI developments and technologies. /n Strong Large Language Model (LLM) Expertise/n /n /n
- Hands‑on experience fine‑tuning, adapting, and deploying LLMs, including prompt engineering, embeddings, and context management.



/n /n LLM Application & System Architecture/n /n /n
- Proven ability to design and implement production‑grade LLM solutions such as RAG pipelines, agents, and tool/function‑calling systems. /n /n Production MLOps & Model Lifecycle Management/n /n /n
- Experience owning the end‑to‑end ML lifecycle, including CI/CD, deployment, monitoring, versioning, and performance/cost optimization. /n Advanced Python & Software Engineering/n /n /n
- Strong Python skills with experience building scalable, testable APIs and services that integrate ML/LLM models into enterprise systems. /n /n Cloud‑Based Scalable ML Infrastructure/n /n /n
- Hands‑on experience with AWS, Azure, or GCP, including containerization (Docker), orchestration (Kubernetes), and GPU‑based ML workloads. /n /n

Qualifications:
/n /n /n
- Masters degree in Computer Science, Engineering, or a related field. /n
- Proven experience as an AI Engineer or in a similar role. /n
- Strong programming skills in languages such as Python, R, or Java. /n
- Experience with machine learning frameworks and libraries. Excellent analytical and problem-solving abilities. /n
- Effective communication and collaboration skills. /n /n

📌 Artificial Intelligence (Melbourne)
🏢 Morson
📍 Melbourne