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: