AI/MI Engineer - Tempe, AZ

Dice is the leading career destination for tech experts at every stage of their careers. Our client, TechniPros, LLC, is seeking the following. Apply via Dice today! Job Title: AI/ML Engineer Location: Tempe, AZ Can do Only W2, No C2C Job Summary: Frontier Technology Inc. (FTI) is seeking a highly skilled and hands-on AI/ML Engineer to design, develop, and deploy advanced machine learning solutions supporting Department of Defense (DoD) and Intelligence Community (IC) missions. This role is ideal for engineers who enjoy building end-to-end AI pipelines, developing production-grade systems, and delivering operational impact through modern AI technologies. Key Responsibilities: • Design, develop, and deploy AI/ML models and pipelines to meet mission and performance objectives. • Build, train, fine-tune, and optimize machine learning models using PyTorch, TensorFlow, Scikit-learn, Hugging Face, and LangChain. • Develop and operationalize MLOps pipelines using MLflow, Kubeflow, DVC, or equivalent orchestration frameworks. • Implement and optimize Vector Databases including: • Milvus • Pinecone • Chroma • FAISS • Develop retrieval architectures utilizing: • Retrieval-Augmented Generation (RAG) • Graph-based retrieval • Hybrid retrieval models • Write efficient Python code for: • Data ingestion • Feature engineering • Embeddings generation • Inference services • Fine-tune and optimize LLMs and task-specific models using: • LoRA • QLoRA • PEFT • Contribute to agent-based AI applications using: • LangGraph • AutoGen • CrewAI • DSPy • Integrate AI capabilities into production systems using APIs, event-driven workflows, and UI copilots. • Collaborate with data engineers, software developers, and mission analysts to ensure AI solutions are production-ready. • Participate in peer reviews, maintain shared repositories, and document experiments and models for reproducibility. Required Skills: • 6 10+ years of professional experience developing and deploying AI/ML solutions in production environments. • Minimum 3 years of experience within DoD/Defense AI assurance, security, and deployment environments. • Strong programming expertise in Python. • Hands-on experience with: • PyTorch • TensorFlow • Scikit-learn • Hugging Face • LangChain • Experience building and deploying MLOps pipelines using: • MLflow • Kubeflow • DVC • Equivalent orchestration frameworks • Strong knowledge of Vector Databases: • Milvus • Pinecone • Chroma • FAISS • Experience with retrieval architectures: • RAG • Hybrid retrieval • Graph-based retrieval • Hands-on experience fine-tuning and evaluating LLMs using: • LoRA • QLoRA • PEFT • Experience integrating AI capabilities into production applications and mission systems. • Strong understanding of AI deployment and production environments. Preferred Qualifications: • Familiarity with Agentic AI frameworks: • LangGraph • AutoGen • CrewAI • DSPy • Experience with multi-agent reasoning systems. • Understanding of: • Prompt Engineering • Retrieval Quality • Grounding Techniques Exposure to: • GPU-based inference environments • Edge AI deployments • Bachelor's or Master's degree in: • Computer Science • Engineering • Data Science • Related technical disciplines • Active Secret Clearance preferred. • Ability to obtain security clearance is required. Soft Skills: • Strong analytical and problem-solving skills. • Excellent written and verbal communication abilities. • Ability to collaborate effectively with cross-functional teams. • Strong documentation and knowledge-sharing practices. • Ability to work in mission-critical and highly secure environments. • Self-driven mindset with strong ownership and accountability. • Ability to thrive in fast-paced engineering environments. • Additional Notes • Opportunity to support Department of Defense (DoD) and Intelligence Community (IC) initiatives. • Focus on production-grade AI/ML systems and operational mission impact. • Exposure to cutting-edge technologies including: • LLMs • RAG Architectures • Vector Databases • Agentic AI • MLOps • Multi-Agent Systems • Engineers with security clearance backgrounds are highly preferred. • Ability to obtain an Active Secret Clearance is mandatory. Mandatory Skills: • Python • PyTorch • TensorFlow • Scikit-learn • Hugging Face • LangChain • MLOps • MLflow • Kubeflow • DVC • Vector Databases • Milvus • Pinecone • Chroma • FAISS • Retrieval-Augmented Generation (RAG) • LoRA • QLoRA • PEFT • Large Language Models (LLMs) • AI Model Fine-Tuning • Production AI Deployment • Agentic AI Frameworks • LangGraph • AutoGen • CrewAI • DSPy • Prompt Engineering • Multi-Agent Systems • DoD Environment Experience • Defense AI Security • AI Assurance • Secret Clearance Eligibility Best Regards: Tina Phone: Email: