AI/ML Engineer

Job not on LinkedIn

November 18

🏈 Ohio – Remote

Although this job is listed in Ohio, this company may be open to hiring remote in other states.

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

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FTI - Frontier Technology Inc.

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Defense • Cybersecurity • Artificial Intelligence

FTI - Frontier Technology Inc. is a technology company that specializes in providing mission-tailored solutions and deep data expertise to support defense and intelligence operations. With advanced capabilities in data integration, analytics, modeling, and cyber resilience, FTI enables its clients, primarily within the Department of Defense and other federal agencies, to make informed decisions quickly and confidently. Their innovative approach leverages artificial intelligence and machine learning to process complex data environments, ensuring effective decision-making while maintaining the security of sensitive information.

501 - 1000 employees

Founded 1985

🔒 Cybersecurity

🤖 Artificial Intelligence

📋 Description

• Design, develop, and deploy AI/ML models and pipelines that meet mission and performance objectives • Build, train, and fine-tune models using frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, and LangChain • Develop and operationalize MLOps pipelines (MLflow, Kubeflow, DVC, or custom training/inference orchestration) • Implement and optimize vector databases (Milvus, Pinecone, Chroma, FAISS) and retrieval architectures (RAG, graph, hybrid) • Write clean, efficient Python code for data ingestion, feature engineering, embeddings, and inference services • Experiment with fine-tuning and optimization of LLMs and task-specific models (LoRA, QLoRA, PEFT) • Contribute to agent-based applications using frameworks like LangGraph, AutoGen, CrewAI, or DSPy • Integrate AI services into real-world systems via APIs, event-driven workflows, or UI copilots • Collaborate with data engineers, software developers, and mission analysts to ensure AI models are production-ready and aligned with customer needs • Document models and experiments for reproducibility

🎯 Requirements

• 4–6 years of professional experience developing and deploying AI/ML solutions in production environments • Strong Python development skills with hands-on experience building AI/ML solutions • Direct experience with ML frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, or LangChain • Proven ability to build and deploy MLOps pipelines using MLflow, Kubeflow, DVC, or equivalent • Working knowledge of vector databases (Milvus, Pinecone, Chroma, FAISS) and retrieval-based architectures (RAG, hybrid, graph)

🏖️ Benefits

• Telecommute • Opportunity to work on challenging projects supporting defense and national security • Participation in peer reviews and shared repositories