Remote Library Jobs in Jacksonville, FL (NOW HIRING)

AI / Machine Learning Engineer

About the Role

We are working with a client seeking a skilled AI/Machine Learning Engineer for a full-time, direct hire opportunity. This is a fully remote position open to candidates across the United States.

Responsibilities

• Design, develop, and deploy machine learning models and AI-driven solutions into production environments
• Build and maintain data pipelines to support model training, evaluation, and continuous improvement
• Collaborate with data scientists, engineers, and product teams to translate business problems into scalable AI solutions
• Evaluate and implement large language models, fine-tuning approaches, and prompt engineering strategies where applicable
• Monitor model performance in production and retrain or update models as needed
• Optimize models for accuracy, efficiency, and computational cost
• Conduct rigorous experimentation and communicate results clearly to both technical and non-technical stakeholders
• Stay current on advancements in machine learning, deep learning, and generative AI
• Document models, pipelines, methodologies, and results thoroughly

Requirements

• 3+ years of experience in a machine learning or AI engineering role
• Strong proficiency in Python and ML libraries — TensorFlow, PyTorch, scikit-learn, or similar
• Experience building and deploying production ML models, not just research or notebook-based work
• Solid understanding of supervised, unsupervised, and reinforcement learning techniques
• Familiarity with LLMs, transformer architectures, and generative AI frameworks
• Experience with cloud-based ML platforms — AWS SageMaker, Azure ML, Google Vertex AI, or similar
• Strong understanding of data preprocessing, feature engineering, and model evaluation techniques
• Excellent problem-solving skills and rigorous experimental mindset
• Strong communication skills — ability to explain complex models and results to non-technical audiences

Nice to Have

• Experience with fine-tuning or deploying large language models such as GPT, LLaMA, or similar
• Familiarity with MLOps practices and tools such as MLflow, Kubeflow, or Weights & Biases
• Experience with retrieval-augmented generation (RAG) architectures
• Knowledge of vector databases such as Pinecone, Weaviate, or Chroma
• Background in NLP, computer vision, or time-series forecasting
• Contributions to open-source ML projects or published research

Compensation

$130,000 — $175,000 base salary depending on experience. Full benefits package available.

Location

Fully remote — United States.