Leadership: 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), NLP/LLMs, MLOps (MLflow, Docker, cloud platforms), and data pipelines
Deployment experience deploying models to production using SageMaker, Vertex AI, or custom APIs (FastAPI, TorchServe)
Requirements:
Lead end-to-end AI/ML projects and mentor junior engineers
Design, develop, and optimize ML/NLP models using Python and DL frameworks
Deploy models to production using SageMaker, Vertex AI, or custom APIs (FastAPI, TorchServe)
Collaborate with cross-functional teams to translate business needs into AI solutions and build scalable data pipelines
Job description
This is a remote position.
Job Title: AI Engineer
Location: Remote
Duration: Full-Time
NEED IRS MBI Clearance.
Experience & Leadership: 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.
Technical Skills: Proficient in Python, deep learning (PyTorch/TensorFlow), Natural Language Processing (NLP) /LLMs, MLOps (e.g. MLflow, Docker, cloud platforms), and data pipelines.
Deployment Expertise: Hands on experience deploying models to production using tools like SageMaker, Vertex AI, or custom APIs (FastAPI, TorchServe).
Soft Skills: Strong communication, cross-functional collaboration, critical thinking, and the ability to translate business needs into AI solutions.
Bonus/Preferred: Experience with LLMs, generative AI, RAG, open-source contributions, or domain expertise in finance, healthcare, or recommendation systems.
