3–5+ years in software/ML engineering with a strong track record of leading end-to-end AI/ML projects and mentoring junior team members.
Proficient in Python, deep learning (PyTorch/TensorFlow), Natural Language Processing (NLP) /LLMs, MLOps (e.g. MLflow, Docker, cloud platforms), and data pipelines.
Hands on experience deploying models to production using tools like SageMaker, Vertex AI, or custom APIs (FastAPI, TorchServe).
Strong communication, cross-functional collaboration, critical thinking, and the ability to translate business needs into AI solutions.
NEED IRS MBI Clearance.
Nice To Haves
Experience with LLMs, generative AI, RAG, open-source contributions, or domain expertise in finance, healthcare, or recommendation systems.