AI & ML Engineer: Build Next‑Gen AI Systems

Jobtailor; Alabama; On-site; USD 90,000 - 130,000; Full time

Job summary

Jobtailor in Alabama seeks a skilled AI/ML Engineer to design, develop, and deploy machine learning models and AI-powered applications, collaborating with cross-functional teams to meet client needs.

You will build data pipelines, model training workflows, and inference systems, evaluate LLMs and generative AI tools, monitor performance, and document architectures while translating latest research into practical solutions.

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field.
• Proven experience in machine learning, deep learning, or AI engineering.
• Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Experience with NLP, LLMs, or generative AI tools (e.g., OpenAI, Hugging Face).
• Familiarity with cloud platforms (AWS, Azure, or GCP) and MLOps practices.
• Strong analytical and problem‑solving skills with attention to detail.
• Excellent communication skills and ability to present technical concepts to non‑technical stakeholders.

Responsibilities

• Design, develop, and deploy machine learning models and AI-powered applications.
• Collaborate with cross-functional teams to identify and implement AI/ML solutions for client needs.
• Build and maintain data pipelines, model training workflows, and inference systems.
• Evaluate and integrate large language models (LLMs), generative AI tools, and emerging AI frameworks.
• Monitor model performance, conduct testing, and iterate on improvements.
• Document technical architectures, methodologies, and best practices.
• Stay current with AI/ML research and translate advancements into practical applications.

Skills

Python

ML frameworks

NLP

MLOps

Communication

Analytical thinking

Education

Bachelor's or Master's in CS/Data Science/AI

Tools

TensorFlow

PyTorch

scikit-learn

Job description

Jobtailor in Alabama seeks a skilled AI/ML Engineer to design, develop, and deploy machine learning models and AI-powered applications, collaborating with cross-functional teams to meet client needs.

You will build data pipelines, model training workflows, and inference systems, evaluate LLMs and generative AI tools, monitor performance, and document architectures while translating latest research into practical solutions.