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Role: AI/ML Engineer
Location: Boston, MA
Contract: Only on W2
Job Description:
Role: AI/ML Engineer
Location: Boston, MA
Contract: Only on W2
Job 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).
- 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.
- Participate in peer reviews, contribute to shared repositories, and document models and experiments for reproducibility.
- 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.
- Professional experience fine-tuning and evaluating LLMs or smaller task-specific models using LoRA, QLoRA, or PEFT.
- Professional experience integrating AI capabilities into production systems or mission applications.